Forecasting & Agricultural Systems- Scientific Staff

Head (A)

115, Training cum Administrative Block (New Building)

Official E-mail:         Kn.Singh@icar.gov.in
Phone (O).:                (011)-25847121-24 Extn: 4175

Research interests: Statistical modeling, Sampling Techniques, Probability theory, Statistical Inference, Remote Sensing and GIS

Courses  Offered:  Statistical Inference, Probability Theory, Statistical Methods

Award and Honors: 

  • Dr. K. S. Krishnan Research Fellowship by Department of Atomic Energy
  • Certificate of Merit for Research Fellowship by CSIR, Human Research Group
  • Indian Society of Agricultural Statistics (ISAS) awarded best paper award for the paper “Soil fertility mapping and its validation using spatial prediction techniques”.

Dr. Kamalesh Narain Singh

Google Scholar Link: https://scholar.google.com/citations?user=XzFkHbUAAAAJ&hl=en

Training organized:

  • Organized an International training programme on “Forecasting Techniques in Agriculture” for Officers of Dept. of Census and Statistics, Sri Lanka during 17 to 31 October, 2011 as a Course Director.
  • Organized an International training programme on “Applications of Remote Sensing and GIS in Agricultural Surveys” for Afro Asian Rural Development Organization (AARDO) during January 18 to February 7, 2012 as a Course Coordinator.
  • Organized a National training on “Forecast Modeling in Crops using weather and Geo-informatics” under NAIP, during 22 August to 4 September, 2012 as Course Director.
  • Organized a Summer Institute training on “Forecast modeling in crops” during 17 July to 6 August, 2012 as Course Director.
  • Summer Institute training on “Forecast modeling in crops” during 3 to 23 Sept. 2013 as a Course Director.
  • Organized a training on “Computer Assisted Text Analysis” during   28-29 March, 2014 as a Course Coordinator.
  • Organized a training on “Survey for MACAS Project” during 20-211, August 2014 as a Course Coordinator

Organized 55th Annual Conference of Indian Society of Agricultural Statistics, Bhopal, during 2002 as a Co- Organizing Secretary.

Important projects:

  • Crop yield forecasting under Forecasting Agricultural output using Space Agro meteorology and Land based observation (FASAL) scheme (PI).
  • Nonparametric bootstrap approach for constructing prediction intervals for non-linear and bivariate time series models (Co-P I).
  • Study of Commodity Price Forecast based on time series data (Co-P I).
  • Mapping the Cultural Authority of Science across Europe and India (PI).
  • Market Intelligence (Co-P I).
  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-P I).
  • Forecasting of spatio-temporal time series data using Space Time Autoregressive Moving Average (STARMA) model (Co-P I).
  • Future perspective of Bt. technology in Indian agriculture (Co-P I).
  • Development of suitable methodology for soil fertility mapping using GIS and GPS tools for precise fertilizer recommendations based on spatial variability (PI).
  • Development of methodology using RS, GPS & GIS for delineating area of a district in different fertility zones for precise fertilizer recommendations based on available soil nutrients (PI).
  • GPS and GIS based model soil fertility maps for selected districts for precise fertilizer recommendations to the farmers of India (Co-PI).
  • Preparation of soil fertility maps of the country for major soil nutrients for managing nutrients in different crops (PI).
  • Assessment of quality and resilience of soils in diverse agro-ecosystem. (Co-PI).
  • Soil Organic Carbon Dynamics vis-a vis Anticipatory Climate Changes and Crop Adaptation Strategies (Co-PI).
  • Methodology to Prepare Soil Fertility Maps using GPS and GIS for Precise Fertilizer Recommendations to the Farmers of India (PI)
  • Development of Methodology (models) to Estimate the Nutrients at Field Level using Remote Sensing (RS) (PI).
  • Development of Methodology for linking of Geo-Referenced Maps with Recommendations for Targeted Yield (PI).
  • Land Productivity Assessment using Remote Sensing (RS) and Geographic Information System (GIS) (PI).
  • Online Fertilizer Recommendation System for Targeted Yield(s) of Crops (PI).

Foreign Visit

Visited Netherlands as Faculty for Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede. 

Important Publications:

  • Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  • Gurung, Bishal, Singh, K.N., Shekhawat, Ravinder, and Yeasin, Md (2017). An insight into technology diffusion of tractor through Weibull growth model. Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2017.1289504
  • Gurung, Bishal, Panwar, Sanjeev, Singh, K.N., Banerjee, Rahul, Gurung, Sisir Raj, and Rathod, Abhisek (2017). Wheat Yield Forecast Using Detrended Yield over a Sub-Humid Climatic Environment In Five Districts of Uttar Pradesh, India. Indian Journal of Agricultural Sciences. 87(1), 87-91.
  • Ray, M., Rai, A., Singh, K.N., Ramasubramanian,  V. and Kumar, A.(2017). Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India, Technological Forecasting and Social Change, 118: 128–133.
  • Panwar, S, Kumar, A, Singh, KN, Gurung, Bishal and Rathore, A (2016). Use of Weather Indices approach in wheat yield crop forecast. Int. Tropical Agril., ISSN: 0254-8755, 1-4.
  • Bhardwaj S.P, Gurung, Bishal, Kanchan Sinha and N. Singh (2016) Study on Market Efficiency and Price Risk Management in Future Trading. Ind. Jr. of Agril. Marketing. 30 (3), 48-58.
  • Amit Saha, SP Bhardwaj, KN Singh, Kanchan Sinha, Avnish Grover and Gurung, Bishal (2016). Hedge ratio based on Ordinary Least Square (OLS) vs. State space methodologies. Journal of Indian Society of Agricultural Statistics. 71(1), 15-20.
  • Ray, M., Rai, A., Ramasubramanian, V. and Singh K. N. (2016). ARIMA-WNN hybrid model for forecasting wheat yield time series data. Journal of the Indian Society of the Agricultural Statistics. 70(1), 63-70.
  • Bhardwaj S.P, Bishal Gurung, Kanchan Sinha and K.N. Singh (2016) Study on Market Efficiency and Price Risk Management in Future Trading. Ind. Jr. of Agril. Marketing. 30 (3), 48-58.
  • Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Panwar, Sanjeev, Gurung, Biwash, and Lepcha, Lawrence (2015). An alternative method for forecasting price volatility by combining models. Communications in Statistics: Simulation and Computation. http://dx.doi.org/10.1080/03610918.2015.1124115
  • Gurung, Bishal, Paul, Ranjit Kumar, Singh, K.N., Panwar, Sanjeev, Lama, Achal and Lepcha, Lawrence (2015). An alternative approach to capture cyclical and volatile phenomena in time-series data. Model Assisted Statistics and Applications. 11(3), 221-230.
  • Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Arya, Prawin, Panwar, Sanjeev, Paul, Amrit, Gurung, Sisir Raj and Lama, Achal (2015). Fitting Stochastic Volatility model through Genetic Algorithm. International Journal of Agricultural and Statistical Sciences. 11, Supplement 1,257-264.
  • Panwar, S, Singh, KN, Kumar, A, Sarkar, SK, Paul, RK, Rathore, A and Sivaramane, N. (2014). Forecasting of growth rates of wheat yield of Uttar Pradesh through non-linear growth models. J. Agric. Sci., 84(7), 68-71.
  • Amerender Kumar, C. Chattopadhyay, N. Singh, S. Vennila and Vum Rao. (2014). Trend analysis of climatic variables in Pigeonpea growing regions in India. Mausam, 65, 2 (April 2014), 161-170.
  • Singh, N. Okendro, Paul, A.K., Kumar, Surinder, Alam,Wasi, Singh, N. Gopimohon, Singh, K.N. and Singh, Pal.(2013). Fitting of Partial Reparameterized Logistic Growth Model to Oil Palm Yield Data. J. Agricult. Stat. Sci., Vol. 9, Supplement 1, pp. 55-62, 2013.
  • C. Manna, P. Bhattacharya, T.K. Adhya, M. Singh, R.H. Wanjari, S. Ramana, A.K.Tripathi, K.N. Singh, K.S. Reddy, A. Subba Rao, R.S. Sisodia, M. Dongre, P. Jha, S. Neogi, K. Roy, K.S. Rao, S. D. Sawarkar, and V.R. Rao.(2013). Carbon fractions and productivity under changed climate scenario in soybean-wheat system. Field Crops Research -145 (2013): 10-12.
  • Okendro Singh, Surinder Kumar, N. Gopimohon Singh, A.K. Paul, K.N. Singh and Pal Singh. (2013). Fitting of Fox Model with Autoregressive of Order One Using Expected Value Parameters. Indian Journal of Agricultural Sciences, 83(2), 83(2), 201-203.
  • P.Bhardwaj, Ashok Kumar and K. N. Singh (2012). Market Intelligence – An empirical Study of market behavior of agricultural commodity. International Journal of Research in Commerce & Management, 3(5): 107.
  • Surendra Singh, A K Paul, N. Singh and Ashok Kumar (2012). Study of growth pattern of cattle under different climatic condition. The IUP Journal of Genetic & Evolution, 5(1): 41-46.
  • R. Singh, Anil Kumar, N. Sivaramane, K.N. Singh and Prawin Arya . (2012). Application of Data Envelopment Analysis for Estimation of Farm Level Efficiencies in Rice Cultivation in Indo-Gangetic Plains of India. Int. J. Agricult. Stat. Sci. Vol. 8, No. 2, pp. 729-735.
  • Sanjeev Panwar, Anil Kumar, N. Singh, Md. Samir Farooqi and Abhishek Rathore.(2012). Using nonlinear regression techniques for analysis of  onion (Allium cepa) production in India. Indian Journal of Agricultural Sciences. 82 (12); 1051-4, 43-46.
  • Amrit Kumar Paul, Surendra Singh, Ashok Kumar, N. Singh and N. Okendro Singh.(2012). Modeling the Growth of Crossbred Piglets. Indian Journal of Animal Science 82 (9): 1098-1099.
  • Shweta Nagpal, Charanjit Kaur, Harshwardhan Chaudhary, Jagbir Singh, Braj Bhusan Singh and N. Singh. (2012). Lycopene content, antioxidant capacity and colour attributes of selected watermelon (Citrullus lanatus (Thunb.) Mansfeld ) cultivarsgrown in India. International Journal of Food Sciences and Nutrition; Early Online: 1–5.
  • K. Behra, M. V. Singh, K. N. Singh, Sandeep Todwal. (2011). Distribution variability of total and extractable zink in cultivated acid soils of India and their relationship with some selected soil properties. Geoderma, 162: 242-250.
  • N. Singh, Abhishek Rathore, Karan Singh, A. K. Tripathi, A. Subba Rao and Salman Khan (2008). Estimation of soil nutrients using remote sensing and geographic information system. Jour. Ind. Soc. Agril. Stat. 63(1): 58.
  • Sunita Singh, Anita Verma, Bajaj Amarjeet and Singh KN. (2008). Eco-friendly Disposal of Mango Kernel by the Recovery of Starch. J. Env. Res. and Development. 2(3): 370-377.
  • K. N. Singh, Abhishek Rathore, N. S. Raju and A. Subba Rao. (2007). GIS based fertilizer recommendation system for farmers and extension agencies. In the Proceeding of Bhartiya Vigyan Sammelan 23-25 November 2007 by M.P. Council of Science and Technology: 58-50.
  • K. Alivelu, A. Subba Rao, S. Sanjay, K.N. Singh,S. Raju, P. Madhuri. (2006). Prediction of optimal nitrogen application rate of rice based on soil test values. European Journal of Agronomy,  25(1),  71-73.
  • Manna, M.C., A. Swarup. R. H. Wanjari, Y. V. Singh, P.K Ghosh, N. Singh, A. K. Tripathi and M. N. Saha. (2006). Soil Organic matter in a West Bengal Inseptisol after 30 years of multiple cropping and fertilization. Soil Sci. Soc. Am. J. 70:121-129.
  • Srivastava, A. Subba Rao, K. Alivelu, K.N. Singh, N. S. Raju and A Rathore. (2006). Evaluation of crop responses to applied fertilizer phosphorus and derivation of optimum      recommendations using Mitscherlich-Bray equation. Communications in Soil Science and plant analysis. 37: 847-858.
  • N. Singh. N. S. Raju and A. Subba Rao. (2006). Land Productivity Assessment using Remote Sensing (RS) and Geographic Information System (GIS). Indian Journal of Agricultural Sciences, 76 (2): 81-84.
  • Singh, K.N., Raju, N.S., Rathore, A., Singh, K and Rao, A.S. (2006) Online soil test based fertilizer recommendation system for targeted yield using soil fertility maps – An attempt to bridge web technologies with the GIS. Ind. Soc. Agril. Stat. 60(3): 212.
  • N. Singh, A. K. Tripathi, N. S. Raju, Abhishek Rathore, A. Subba Rao, Sonali Saxena and V. Patil. (2006). Soil fertility mapping of Hoshangabad district using GIS and GPS tools for precise fertilizer recommendations based on spatial variability. Jour. Ind. Soc. Agril. Stat. 60(3): 181.
  • Rathore, A. Srivastava, S., Singh, K.N. and Muralidharudu, Y. (2006). Estimating the nutrient contribution of manures alone and in the presence of fertilizers. Ind. Soc. Agril. Stat. 60(3): 175.
  • Singh K., Thakur S. S. and Singh K. N. (2006). An Application of Vague set based model in student evaluation. Jour. Ind. Soc. Agril. Stat. 60(3): 213.
  • Manna, M.C. Jha, S, Ghosh, P.K., Ganguly, T.K., Singh, K.N. and P.N.Takkar (2005). Capacity of various food materials to support growth and reproduction of epigeic earthworms on vermicompost. Journal of Sustainable Forestry (USA), 20(1): 1-15.
  • K. N. Singh, N.S. Raju, A. Subba Rao, Sanjay Srivastava (2005). Use of soil fertility maps for prescribing optimum dose of nutrients for targeted yield in Chhattishgarh by interlinking recommendations. Jour. Ind. Soc. Agril. Stat., 59(1): 37.
  • N. S. Raju, K. N. Singh, A. Subba Rao, R. K. Samanta, Abhishek Rathore (2005). Database Management for the GIS based nutrient recommendation system for the different states of the country. Jour. Ind. Soc. Agril. Stat., 59(1): 40.
  • N. S. Raju, K. N. Singh, Abhishek Rathore, Karan Singh, R.K. Samanta (2005). Role of e-commerce in Agriculture and its allied sectors. Jour. Ind. Soc. Agril. Stat., 59(1): 34.
  • Karan Singh, S.S. Thakur and N. Singh (2005). Vague query translation for accessing information from relational databases. Jour. Ind. Soc. Agril. Stat., 59(1): 33.
  • K. N. Singh, N. S. Raju, A. Subba Rao and Sanjay Srivastava (2004). GIS based system for comparing soil fertility changes and prescribing optimum dose of nutrients for targeted yield through soil fertility maps in Andhra Pradesh. Jour. Ind. Soc. Agril. Stat., 58(1): 78.
  • N. S. Raju, K. N. Singh, N. Thomasaiah and R.K. Samanta (2004). Relational database package for the Institute’s data management. Jour. Ind. Soc. Agril. Stat., 58(1): 79-80.
  • K. Alivelu, A. Subba Rao, Sanjay Srivastava, K. N. Singh and N.S. Raju (2004). Prediction of optimal nitrogen rate of rice in Southern, Western and Eastern India. Jour. Ind. Soc. Agril. Stat., 58(1): 79.
  • Chandra and K. N. Singh (2002). Production Function Analysis Using Bayesian Approach. Jour. Ind. Soc. Agril. Stat., 55(1): 137.
  • S. Raju, K. N. Singh, K. Alivelu and R. K. Samanta (2002). Role of Database Management Systems in Agriculture. Jour. Ind. Soc. Agril. Stat., 55(1):143.
  • K. N. Singh, H. Chandra and K. Alivelu (2002). Use of regression type estimator for estimating weight loss in potato stored under heaps, farmer’s storage structure and cold store. Jour. Ind. Soc. Agril. Stat., 55(3): 332.
  • Sammi Reddd, K., Singh, M., Swarup, A. Subba Rao, A. and Singh, K. N. (2002). Sulphur mineralisation in two soils amended with organic manures, crop residues and green manures. J. Plant Nutr. Soil Science, 165: 167-171.
  • Muneshwar Singh, Awadhesh K. Tripathi, Kotha S. Reddy and Kamalesh N. Singh. (2001). Soil Phosphorus dynamics in a Vertisol as affected by cattle manure and nitrogen fertilization in soybean-wheat system. J. Plant Nutr. Soil Science, 164: 691-696.
  • Thimmaasamudram Raghavreddy Rupa, Awadhesh Kumar Tripathi, Cherukumalli Srinivasa Rao, Kamalesh Narain Singh and Annagi Subba Rao. (2001). Distribution and plant availability of soil copper fractions following copper sulphate and farmyard manure applications. Plant Nutr. Soil Science, 164: 451-456.
  • C. Manna, P. K Ghosh, B. N. Ghosh and K. N. Singh. (2001), Comparative effectiveness of phosphate-enriched compost and single super phosphate on yield, uptake of nutrients and soil quality under soybean-wheat rotation. Journal of Agricultural Science, 137: 45-54.
  • Singh, K. N., and Singh, R. (1999).  Estimation of measurement errors due to enumerators and respondents simultaneously. Journal of  Indian Society of Agricultural Statistics, 52(3): 309-316.
  • Singh, K. N. and Sharma, H. C. (1998). Models to forecast yield of potato (Solanum  Tuberosum L.) using biometrical characters. Indian Journal of Agricultural Sciences, 68(11): 742-743.
  • Singh, K. N. and Singh, R. (1996). Improved estimators of variance in the presence of response errors and non response errors. Journal of Indian Society of Agricultural Statistics. 48(3): 314.
  • Singh, K. N. and Singh, R. (1995).  The effect of response errors and non- response errors on  variance estimation. Journal of Indian Society of Agricultural Statistics. 47(1): 104.
  • Singh, K. N. and Singh, R. (1995).  A study of measurement errors due to enumerators and respondents simultaneously. Journal of Indian Society of Agricultural Statistics. 47(1): 109.
  • Singh, K. N. (1994).  Influence of morphology on the graded yield of potato. Journal of Indian Potato Association. 21 (1-2): 62.
  • Singh, K. N. (1994).  Biometrical characters as tools to study crop yield of potato. Journal of Indian Potato Association. 21 (1-2): 62.

Books Authored:

GIS based Soil Fertility maps of different states of India by Y. Muralidhardu, K. Sammi Reddy, B. N. Mandal, A. Subba, Rao, K. N. Singh and Shailendra Sonekar. 2011. PC (STCR), IISS, Bhopal

Books Edited (e-books):

Book Chapters:

  • On line fertilizer recommendation System by K. N. Singh. 2011. Efficient utilization of farm wastes for sustainable agriculture by A. B. Singh et.al. (Eds), Agrotech Publishing Academy, Udaipur. 2011. 151-158, (210).
  • Use of GIS, RS and GPS in the application of precise fertilizer to maintain soil productivity of the farmer’s field by K. N. Singh. New Technology for Rural development having potential of commercialization. Allied Publishers Pvt. Ltd., New Delhi. 2009, 183-195, (275).

Principal Scientist

115, Training cum Administrative Block (New Building)

Official E-mail:        R.Subramanian@icar.gov.in
Phone (O).:               (011)-25847121-24 Extn: 4107
Research interests: Statistical modeling/forecasting/computing, Technology forecasting

Courses  Offered:   Regression Analysis, Probability Theory, Statistical Methods, Statistical Computing in Agriculture, Artificial Neural Networks

Award and Honors: 

  • Best Teacher Award from Deemed University ICAR-Central Institute of Fisheries Education, Mumbai for the year 2016-17.
  • Awarded and honoured to acquire three months international training experience in the area of Technology Forecasting at University of Houston, Houston, Texas, USA during Aug. 18 – Nov.15, 2011

Dr. Ramasubramanian V.

Google Scholar Link: https://scholar.google.co.in/citations?user=e6TRVJMAAAAJ&hl=en

Training organized:

  • Organized training under NAIP project on Technology Forecasting on “Technology Forecasting Methodologies” at ICAR-IASRI during 13 to !7 July, 2010 as a Course Director.
  • Organized CAFT training on “Statistical Models for Forecasting in Agriculture” at ICAR-IASRI during 10 September to 1 October, 1012 as a Course Director.
  • Organized Dissemination cum Training Workshop under NAIP project on Technology Forecasting on “Technology Forecasting Methods with Applications in Agriculture” at ICAR-IASRI during 06 to 15 June, 2012 as a Course Director.

Important projects:

  • Future perspectives of Bt technology in agriculture. (Co-PI)
  • Supply and Demand Analysis of Professional Fisheries Human Capital in India. (Co-PI)
  • Data Mining based Spatio-Temporal Modeling for Marine Fisheries Management. (Co-PI)
  • Assessment of extent of Community Dependence on the coastal ecologically sensitive areas in Achra-Ratnagiri, Maharashtra. (Co-PI)
  • Economic Evaluation and Livelihood Assessment of  Leased-Out-Ponds under Panchayati Raj System in Northern India. (Co-PI)
  • Ecology, Livelihoods and Governance in Indian Reservoir Fisheries:
    An Ecosystem Based Approach. (Co-PI)
  • Strengthening statistical computing for NARS. (Co-PI)
  • Sub- programme on Technology Forecasting in NAIP project – Visioning, Policy Analysis and Gender (V-PAGe). (Co-PI)
  • Risk Assessment and Insurance products for agriculture. (Co-PI)
  • Neural network based forecast modeling in crops. (Co-PI)
  • A study on editing and imputation using neural networks. (PI)
  • Crop forecasting using state space models. (PI)
  • Integrated National Agricultural Resources Information System. (Co-PI)
  • Forecasting sugarcane yield using multiple Markov chains. (PI)

Foreign Visit

Three months international training experience in the area of Technology Forecasting at University of Houston, Houston, Texas, USA during Aug. 18 – Nov.15, 2011

Important Publications:

  • Arun, V.V., Saharan, N., Ramasubramanian, V., Rani, A.M.B., Salin, K.R., Sontakke, R., Haridas, H. and Pazhayamadom, D.G. (2017). Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology, Scientific Reports, doi: 10.1038/srep40394, 7: 1-16.
  • Ray, M., Rai, A., Singh, K.N., Ramasubramanian, and Kumar, A.(2017). Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India, Technological Forecasting and Social Change, 118: 128–133.
  • Bhowmik,A., Ramasubramanian, V., Rai, A., Kumar, A. and Kundu, M.G. (2016). Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Agricultural Ergonomics, Journal of the Indian Society of Agricultural Statistics, 70(3): 227–235.
  • Ray, M., Rai, A., Ramasubramanian, V. and Singh K. N. (2016). ARIMA-WNN hybrid model for forecasting wheat yield time series data. Journal of the Indian Society of the Agricultural Statistics. 70(1), 63-70.
  • Ramasubramanian, V., Kumar, A., Prabhu, K.V., Bhatia, V.K. and Ramasundaram, P. (2014). Forecasting technological needs and prioritizing factors in agriculture from plant breeding and genetics domain perspective: A review, Indian Journal of Agricultural Sciences, 84 (3), 311-316.
  • Ramasubramanian, V. and Bhar, L. (2014). Crop yield forecasting by multiple Markov chain models and simulation, Statistics and Applications, 12(1&2), 1-13.
  • Sadhu, S.K., Ramasubramanian, V., Rai, A. and Kumar, A. (2014). Decision tree based models for classification in agricultural ergonomics, Statistics and Applications, 12(1&2), 21-33.
  • Ray, M., Ramasubramanian V., Kumar, A. and Rai, A. (2014). Application of time series intervention model for forecasting cotton yield, Statistics and Applications, 12(1&2), 61-70.
  • Patel, R.M., Goyal, R.C., Ramasubramanian, V. and Marwaha, S. (2013).  Markov chain based crop forecast modelling software, Indian Journal of Agricultural Statistics, 67(3), 371-379.
  • Jeeva, C., Ramasubramanian V., Kumar, A., Bhatia, V.K., Geethalakshmi, V. and Premi, S.K. (2013). Forecasting technological needs and prioritizing factors for the post harvest sector of Indian Fisheries, Fishery Technology, 50 (1), 87-91
  • Bhowmik, A., Ramasubramanian, V., Chandrahas and Kumar, A. (2011). Logistic regression for classification in agricultural ergonomics, Advances in Applied Research, 3(2), 163-170.
  • Garg, K.C., Kumar, S., Bhatia, V.K,. Ramasubramanian, V., Kumar, A. and Kumari, J. (2011). Plant genetics and breeding research: Scientometric profile of selected countries with special reference to India, Annals of Library and Information Studies, 58(6), 184-197.
  • Ramasubramanian V., Agrawal, R. and.Bhar, L. (2010). Crop Forecasting using multiple Markov chains, Assam Statistical Review, 24(1),37-56.
  • Nikam, S.S., Mishra , A. K, Sarangi, A, Paresh, B.S., Singh, D. K. and Ramasubramanian V. (2010). Artificial Neural Network Models to Predict Wheat Crop Evapotranspiration, Journal of Agricultural Engineering, 47(2), 20-25.
  • Jain, R., Minz, S. and Ramasubramanian V. (2009 ). Machine learning for forewarning crop diseases, Journal of the Indian Society of Agricultural Statistics, 63(1), 97-107.
  • Ramasubramanian, V., Rai A. and Singh, R. (2007). Jackknife variance estimation under two-phase sampling, Model Assisted Statistics and Applications, 2(1), 27-36.
  • Misra, A.K., Om Prakash and Ramasubramanian, V. (2004). Forewarning powdery mildew caused by Oidium mangiferae in mango (Mangiferaindica) using logistic regression models, Indian Journal of Agricultural Sciences, 74(2), 84-87.
  • Ramasubramanian V., Singh, R. and Rai, A. (2002). Resampling based variance estimation under two-phase sampling, Journal of the Indian Society of Agricultural Statistics 55(2), 197-
  • Ramasubramanian, V., Singh, Randhir and Rai, A. (2001). An empirical investigation on the reliability of Jackknife estimation under two-phase sampling for stratification, Indian Journal of Applied Statistics, 6, 1-11.
  • Ramasubramanian, V. and Jain, R.C. (1999). Use of growth indices in Markov chain models for crop yield forecasting, Biometrical Journal, 41, 99–

Books Authored:

  • Ramasubramanian, V., Biradar, R.S. and Krishnan, M., 2017. Statistical Methods for Fisheries Students: A Practical Manual, Mumbai: ICAR-Central Institute of Fisheries Education, Mumbai, 129 pp.
  • Bhatia, V.K., Ramasubramanian, V., Kumar, A., Rai, A., Satyapal, Chaturvedi, K.K. and Agrawal, R. (2012). Subprogramme on Technology Forecasting – Visioning, Policy Analysis and Gender (VPAGe)  , IASRI, New Delhi
  • Kumar, A., Ramasubramanian, V. and Agrawal, R. (2010). Neural network based forecast modeling in crops, Project report No. P.R.07-2010, IASRI, New Delhi.
  • Ramasubramanian, V., Bhatia, V.K., Kumar, A., Rai, A., Chaturvedi, K.K. and Satyapal (2010). Training manual on Technology Forecasting Methodologies, Training programme organized at IASRI, New Delhi during July 13-17 2010, Technical Series IASRI/NAIP/VPAGe/03/2010, IASRI, New Delhi
  • Rai, A., Chaturvedi, K.K., Bhatia, V.K. and Ramasubramanian, V. (2009). Information and Communication Technology for Accelerated Growth in Agriculture, Technical Series IASRI/NAIP/VPAGe/01/09, IASRI, New Delhi
  • Lal, S.B., Ramasubramanian,V., Agrawal, R., Raza, S.M. and Jha, G.K. (2007). A software for imputing missing values using neural networks, Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI-07), Pune, 1595-1604. [ISBN 978-0-9727412-2-4].
  • Kumar, A., Ramasubramanian, V. and Agrawal, R. (2007). Forecasting rice yield using neural networks, Proceedings of the 3rd Indian International Conference on Artificial Intelligence (IICAI-07), Pune, 1510-16. [ISBN 978-0-9727412-2-4].
  • Ramasubramanian V., Agrawal, R. and.Bhar, Lalmohan (2004). Forecasting sugarcane yield using multiple Markov chains, IASRI, New Delhi

Books Edited (e-books):

Ramasubramanian, V., Kumar, A., Bhatia, V.K. and Satyapal (2009). Proceedings of the Workshop on Forecasting Future Technological Needs for Rice in India,  CRRI, Cuttack during July 28-29 2008, Edited Book, IASRI/NAIP/VPAGe/02/09, ICAR-IASRI, New Delhi.

Book Chapters:

  • Palita, N.N., Ananthan, P. S., Panda, D. and Ramasubramanian V., 2016. Livelihood and Poverty among Fishers and Nonfishers in Hirakud Reservoir Region, Odisha, India, In: Freshwater, Fish, and the Future: Proceedings of the Global Cross-Sectoral Conference, (Ed. W. Taylor, D. M. Bartley, C. I. Goddard, N. J. Leonard, and R. Welcomme),Food and Agriculture Organization of the United Nations, Rome; Michigan State University, East Lansing; and American Fisheries Society, Bethesda, Maryland, pp. 159-168. [ISBN-13: 978-92-5-109263-7]
  • Ramasubramanian, V., Kumar, A., Bishop, P., Ramasundaram, P. and Jeeva, C. J. (2015). Applications of quantitative techniques in technology forecasting: Some case studies, In: Statistics in Forestry: Methods and Applications, Ed. Chandra, G., Nautiyal, R., Chandra, H., Roychoudhury, N. and Mohammad, N., Bonfring Publications, Coimbatore, 115-124. [ISBN: 978-93-84743-83-3]
  • Ananthan, P.S., Ramasubramanian, V., M. Krishnan, Vinay, A. and Mary Josephine, P. (2016). A critical review of methodologies applied in supply demand analysis of human capital, In: Human Resource Management in Indian Dairy Sector Makwana, A.K., Gurjar, M.D., Kamani, K.C. and Prajapati, M.C., SMC College of Dairy Science, Anand Agricultural University, Anand, 272-279. [ISBN: 978-81-931704-3-4]
  • Vinay A., Ramasubramanian V. and Naveen Kumar B.T. (2016). Constraint analysis of tuna fisheries in Lakshadweep, In: Natural Resource Management: Ecological Perspectives, Vol. 2, Ed.: Peshin, R., Dhawan, A.K., Bano, B. and Risam, K.S., Proceeding of the Indian Ecological Society: International Conference, Feb. 18-20, 2016, SKUAST, Jammu, page 571. [ISBN: 978-93-5258-415-4]

Principal Scientist

313, Training cum Administrative Block (New Building)

Official E-mail:      Prawin.arya@icar.gov.in 

Phone (O).:             (011)-25847121-24   Extn: 4120
Research interests: Statistics, Time Series, Forecasting, Econometric Analysis.

Dr. Prawin Arya

Important projects:

  • Development of count time series models for predicting pest dynamics using weather variables (PI)
  • Smallholders productivity and agricultural growth through technology, sustainable intensification and ecosystem services (CC-P I)
  • National Information System for Pest Management (NISPM) (Bt Cotton). Mini mission –II of technology mission on cotton project (P I)
  • An Econometric Analysis of Water Markets in Canal Command Area of North-Western Rajasthan (Co-PI).
  • NAIP Project: Visioning, Policy Analysis and Gender (V-PAGe), Sub-Prog. III: Policy Analysis & Market Intelligence (Co-P I)
  • An Econometric Analysis of Groundwater Markets in Indo-Gangetic Plain of India (Co-P I).
  • An Econometric Study for Estimation of Elasticities of Demand and Supply of Major Fruits and Vegetables in India (Co-P I).
  • An Econometric Approach for Measurement of Indemnity and Premium Rates under Crop Revenue Insurance. (P I).
  • A diagnostic study of design and analysis of field experiments (Co-PI).

Foreign Visit:

Visited IOWA State University of Science and Technology, Ames, IOWA, USA.International Training for three months as research associate in the area: Modeling for Land Use Planning (Social Sciences) funded by NAIP.

Important Publications:

  1. S. Roy, R. K. Paul, L. M. Bhar and P. Arya (2016). Application of INAR model on the pest population dynamics in Agriculture. Journal of Crop and Weed, 12(2):96-101
  2. Prawin Arya, Ranjit Kumar Paul, Anil Kumar, K. N. Singh, N. Sivaramne and Pradeep Chaudhary (2015). Predicting pest population using weather variables : An ARIMAX time series framework. Int. J. Agricult. Stat. Sci. 11 (2), pp. 381-386.
  3. Ranjit Kumar Paul, S. P. Bhardwaj, D. R. Singh , Anil Kumar, Prawin Arya and K. N. Singh (2015). Price volatility in food commodities in India – an empirical investigation. Int. J. Agricult. Stat. Sci. II (2), pp. 395-401.
  4. Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Arya, Prawin, Panwar, Sanjeev, Paul, Amrit, Gurung, Sisir Raj and Lama, Achal (2015). Fitting Stochastic Volatility model through Genetic Algorithm. International Journal of Agricultural and Statistical Sciences. 11, Supplement 1,257-264.
  5. Prawin Arya, Shiv Kumar, D. R. Singh, Anil Kumar and Sivaramane N. (2013), Market Integration in Mustard Commodities in India, Global Journal of Finance and Management, 5(12): 44-48.
  6. Praveen, K.V., Shiv Kumar, D. R. Singh, Anil Kumar, Prawin Arya and Khyaliram Chaudhary (2013), An Analysis of Price Levels of Selected Food Commodities under Modern and Traditional Retailing Formats in Kochi. Global Journal of Finance and Management, 5(12): 76-85.
  7. Praveen, K.V., Shiv Kumar, D. R. Singh, Prawin Arya, K. R. Chaudhary and Anil Kumar (2012). A study on economic behaviour, perception and attitude of households towards traditional and modern food retailing formats in Kochi, Indian Journal of Agricultural Marketing, 27(2), 142-151.
  8. Kumar, Shiv, Rakesh Kumar, D. R. Singh, Anil Kumar, Prawin Arya and K. R. Chaudhary (2013). Equity, Efficiency and Profitability of migratory sheep production system in Rajasthan, Indian Journal of Animal Sciences, 83(9):976-982.
  9. Singh, D. R., A. Kumar, Sivaramane N., K. N. Singh and Prawin Arya (2012). Application of Data Envelopment Analysis for Estimation of Farm Level Efficiencies in Rice Cultivation in Indo-Gangetic Plains of India, International Journal of Agricultural and Statistical Sciences, 8(2): 729-735.
  10. Sivaramane, N, D.R. Singh and Prawin Arya (2009). An Econometric Analysis of Household Demand of Major Vegetables in India, Indian J. of Agricultural Marketing, 23(1): 66-76.
  11. Sivaramane, N., A. Kumar, D.R. Singh and Prawin Arya (2008). An Economic Analysis of Traditional and Hi-tech rose (Rosa Spp.) Cultivation, J. of Ornamental Horticulture, 11(1): 21-26.
  12. S. Arya and Prawin Arya (2004). Circulant Designs: Critical Review and New Insight, Journal of the Indian Society of Agricultural Statistics, 57 (spl. volume), 289-308.

Training organized:

  • Organized a National training on “Forecast Modelling Analytics in Crops under CAFT, during 30 May- 19th June, 2014 as Course Director.
  • Summer Institute training on “Forecast modeling in crops” during 3 to 23 Sept. 2013 as a Course Co-Director.
  • Organized a National training on “Advances in Quantitative Techniques for Policy Analysis in Agricultural Economics under CAFT, during 6-26 December, 2007 as Course Co-Director.

Book Chapters:

  • Laxmi P.A., Ashok Kumar, Prawin Arya, Shiv Kumar, Anil Kumar and D. R. Singh (2013). “Dimension of Performance of Micro Finance: A Conceptual Exploration” in edited book on Micro Finance: Building Bridges Between Economy and Society (Edited by Surender Mor), Department of Economics, BPSMU, Khanpur Kalan, Sonepat, Haryana (India), 172-198.
  • Vijith Krishnan K, Shiv Kumar,  D. R. Singh,    R. Aarthi, Anil Kumar, Prawin Arya, Saloo and K.R. Chaudhary (2013). Prevailing Practices of Paddy Collective Farming under Kudumbashree Mission in Kerala: An Economic Investigation, in edited book on Microfinance and Microentrepreneurship (edited by Surender Mor), Bhagat Phool Singh Mahila Vishwavidyalaya, Sonepat, India, pp. 237-244.
  • Shiv Kumar, Anil Kumar, D. R. Singh, Prawin Arya, K. R. Chaudhary, Kanika and Sandeep Kumar (2013). Evaluation of Performance of Protection of Plant Varieties & Farmers’ Right Authority (PPV&FRAs): An Empirical Investigation, in Souvenir & Conference Book of International Conference on Global IPR System and WTO Issues (GIPRS-2013)(edited by S.S. Gourav, J. K. Dhaka, V. K. Vmrao, S. P. Singh, S.K. Lal and Nidhi Gupta) held at CCSU, Meerut (U.P.) during Sept. 14-15, 2013, S. R. Scientific Publications, New Delhi, 53-60.
  • Sivaramane N., G. P. Reddy, Vijayachandra Reddy, D.R. Singh and Prawin Arya (2014). Analytical Tools to Assess Efficiencies in Supply Chain of Agricultural Produce, in edited book on Supply Chain Management in Agriculture, (Edited by Sivaramane N. and G. P. Reddy), NAARM, Hyderabad, Telangana, India,161-176.

Scientist

303, Training cum Administrative Block (New Building)

Official E-mail:     mw.alam@icar.gov.in

Phone (O).:            (011)-25847121-24     Extn: 4145
Research interests: Cluster Analysis, Reliability Estimation, Sequential testing, Time Series Forecasting, Machine Learning Techniques.
Courses  Offered:   Demography (AS 573, 2L+0P), Basic Statistical Methods in Agriculture (PGS 504,2L+1P), Basic Sampling & Non- parametric methods (AS503, 2L+ 1P), Statistical Modeling (AS-570, 2L+1P), Diversity Analysis (GP 612, 2L+1P), Data Analysis in Agriculture (CA 225,1L+2P), Forecasting Techniques (AS-667,1L+1P), Advanced Statistical Inference (AS-605, 1l+1P), Statistical Quality Control (AS 572, 2L+0P), Statistical Genetics-VI (6L+2P)*, Use of Computers in Agricultural Research (Paper-II, 6L+3P) *, Econometrics and Forecasting Techniques (Paper-IV, 6P+2L)*, Statistical Methods and Official Agricultural Statistics statistical methods (paper-1)*

      *  Senior Certificate Course

Dr. (Md.) Wasi Alam

Award and Honors

  • Junior Research Fellowship award of Indian Council of Agricultural Research, 1995-97.
  • Junior Research Fellowship award of Indian Agricultural Research Institute, New Delhi, 1995-97.
  • Senior Research Fellowship award of Indian Agricultural Research Institute, New Delhi, 1998-99.
  • Selected for Commonwealth Scholarship Award, United Kingdom (Award Number -INCS—2005-147).
  • Member Editorial Board, Journal of Agro-ecology and Natural Resource Management
  • Member Editorial Board, Journal of Energy Research and EnvironmentalTechnology
  • Refereed the papers of international journals: British Journal of Applied Science & Technology, Journal of Applied Statistics and Physical Science International Journal and received appreciation letter for quality review.
  • Faculty Member of post graduate school of Indian Agricultural Research Institute, New Delhi.
  • Member secretary of board of studies for Agricultural Statistics, IASRI, 2014-15

Trainings Organized:

  • As a Course Director, organized 21 days training on ‘Advances in Statistical Genetics’ during July 02-22, 2013 under centre of advanced faculty training.
  • As a Course Co-Director, organized21 days summer school training on ‘Forecast Modeling in Crops’ during September 03-23, 2013.
  • Organized a workshop on ‘Application of Forecasting Techniques in Agriculture Using Advanced Software Packages’ in Hindi during March 26-31, 2016 at IASRI, New Delhi.

Important Projects:

  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (PI)
  • Estimation of survival functions in a family of lifetime distributions under singly censored observations: Bayesian Vs Classical Approach (PI)
  • Some Investigations on Stable and Robust Clustering Procedures (PI)
  • Econometric Study of Technological Dualism of Egg Production in India (Co-PI).
  • Study on Volatility spillover of Agricultural commodity prices (Co-PI).
  • Nonparametric bootstrap approach for constructing prediction intervals for non-linear and bivariate time series models (Co-PI).
  • Study on Robustness of the Sequential Testing Procedures for Some Distributions used in Agricultural Pest Control (PI)

Important Publications:

  • Ratna Preeti Kaur, Babita Chaudhary, Alam, W.. Associations among yield and yield contributing traits of potato in North-western Plains of India. The Indian Journal of Agricultural Sciences. (Accepted)
  • Kanchan Sinha, Bishal Gurung, Ranjit Kumar Paul, Anil Kumar, Sanjeev Panwar, Alam, W., Mrinmoy Ray and Santosha Rathod (2017). Volatility Spillover using Multivariate GARCH Model: An Application in Futures and Spot Market Price of Black Pepper. Journal of the Indian Society of Agricultural Statistics, 71(1):21-28.
  • Alam, W., Ajit Chaturvedi, Anil Kumar, K.N. Singh and Kanchan Sinha (2016). Sequential testing for decision making in the management of mustard aphid using size-biased negative binomial distribution. International Journal of Agricultural and Statistical Sciences. 12(2): 531-535 [NAAS Score=5.13, 2017]
  • Joshi, M.A., Aggarwal, D., Pandey, A., Bind, D. and Alam, W. (2015). Generation of Distinct Profiles of rice varieties based on agro-morphological characters and assessment of genetic divergence. Research on Crops. 16(2): 311-319
  • Behera, S.K., Paul,A.K, Wahi, S.D., Iquebal, M.A., Das, S., Paul, R., Alam, W. and Kumar, A. (2014). Estimation of heritability of mastitis disease using moment estimators. J. Agricult. Stat. Sci.Vol. 10, Supplement 1: 243-247.
  • Surendra Singh, A.K. Paul, Ranjit Kumar Paul, L.M. Bhar, Ashok Kumar and Wasi Alam (2015).  Study of Growth Pattern of Cattle under Different Error Structures. Model Assisted Statistics and Applications. 10:109-115
  • Alam, , Ajit Chaturvedi, K.N. Singh, Anil Kumar, Amrit K. Paul, Ranjit K. Paul and Kanchan Sinha (2014). Maximum Likelihood and Uniformly Minimum Variance Unbiased Esimation of P(Y<X) for Gompertz Distribution. International journal of Agricultural and Statistical Sciences. 10(2):267-274
  • Alam W.,Chaturvedi, A. and Kumar, A. (2014). Estimation of survival function under type II censoring using a generalized family approach. International Journal of Agricultural and Statistical Sciences.  10(1): 17-19
  • Paul, R.K., Alam, W. and A.K. Paul (2014). Prospects of livestock and dairy production in India under time series framework. The Indian Journal of Animal Sciences. 84(4):462-466.
  • Paul, A.K., Paul, R.K., Alam, W. (2013).Effect of Non-normality and inadmissible estimates on estimation of heritability. The Indian Journal of Animal Sciences. 83(12): 114–116.
  • Chaturvedi, A., Alam, W. and Chauhan, K. (2013): Robustness of the Sequential Testing Procedures for the Parameters of Zero-Truncated Negative Binomial, Binomial and Poisson distributions. Journal of Indian Statistical Association:51(2):313-328
  • Singh, N. Okendro, A.K. Paul, Surinder Kumar, Wasi Alam, N. Gopimohon Singh, K.N. Singh and Pal Singh (2013). Fitting of Partial Reparameterized Logistic Growth Model to Oil Palm Yield Data. International Journal of Agricultural and Statistical Sciences. 9(1):55-62.
  • C. Naveen, Dinesh Kumar,Wasi Alam, Rahul Chaubey, S. Subramanian and Rajagopal Raman (2012). A Model Study Integrating Time Dependent Mortality in Evaluating Insecticides Against Bemisia Tabaci (Hemiptera: Aleyrodidae). Indian Journal of Entomology,74(4):384-388
  • Paul,A.K., Alam, W. and Singh,P. (2011). Average linkage Method for Clustering Rice Producing States of India. Indian Journal of Agricultural Sciences, 81(8): 75-78.
  • Singh, N Okendro, Paul, Amrit Kumar, Singh, N Gopimohon, Singh, Pal and Alam, W. (2011). Modeling seasonal growth of fish using modified Gompertz model with sine wave function. J. Anim. Sci.,81(6): 648-650.
  • Alam, W. and Chaturvedi, A.(2010). Discriminating Among Overlapping Parametric Models and Estimating Survivorship Function of Insects Mortality. International Journal of Computing Sciences and Mathematics.2(1): 1-10
  • Chaturvedi, A. and Alam, W. (2010). UMVUE and MLE in a Family of Lifetime Distributions. Journal of Indian Statistical Association. 48(2): 189-213.
  • Chaturvedi, A., Chauhan, K., and Alam,W.(2009). Estimation of the Reliability Function for a Family of Lifetime Distributions under Type I and Type II Censorings. Journal of Reliability and Statistical Studies, 2(2): 11-29.
  • Singh,N.O., Alam,, Paul, A.K. and Kumar, S. (2009). Length-Weight Relationship and Growth Pattern of Tor putitora (Hamilton) under monoculture and Polyculture systems: A Case Study. Journal of Indian Soc. of Agril. Statistics, 63(1):1-6.
  • Kumar B., Rakshit,S.,Singh, RD,Gadag, R.N.,Nath,R. Paul, A.K., and Alam, (2008).Genetic Diversity of Early Maturing Indian Maize(Zea Mays L.) Inbred Lines  Revealed by SSR Markers. J. Plant Biochemistry and Biotechnology, 17(2). 133-140.
  •  Singh, N.O., Paul, A.K.and Alam,(2007). Non-linear models to describe growth pattern of Tor putitora(Hamilton) under monoculture and poly culture systems. The Indian Journal of Animal Science,77(12):1346-1348.
  • Chakraborty, K., Paul, A.K., and Alam, (2007). Application of Clustering Techniques in Mango and Litchi Germplasm of West Bengal. Journal of Interacademicia, 11: 34-39.
  • Alam,, Wahi, S.D. and Kumar, A. (2003). A Comparative Estimation Approach for Time Series Forecasting of Oilseeds in India. J. farming Systems Research & Development, 8(1):120-121.

Book Edited

Paul, A.K., Singh, N.O. and Alam, W. (2012). Biometrical Techniques in Plant and Animal Breeding. Lap Lambert Academic Publishing, Germany, ISBN: 978-3-8454-3277-9.

Books Edited (e-books):

  • Wasi Alam, R.K. Paul and A.K. Paul (2013).Advances in Statistical Genetics.

[http://cbp.icar.gov.in/ebook22.aspx?trainingApprovedId=CAFT-2013-238&trainingTitle=Advances%20in%20Statistical%20Genetics ]

  • K.N. Singh, Wasi Alam, Prawin Arya and Sanjeev Panwar (2013). Forecast Modelling in Crops.[http://cbp.icar.gov.in/ebook22.aspx?trainingApprovedId=SS-2013-428&trainingTitle=Forecast%20Modelling%20In%20Crops%20(2013-14)]

Book Chapters: 03

Reference Manuals Edited: 03

Chapters in Reference Manuals: 30

Popular Articles: 13

Project Reports: 05

Papers presented in International/National conferences as a Contributory and Invited Talks: 25

Invited lectures delivered in Trainings/Workshops:  20

Trainings attended: 07

Scientist

Room No.: 316

Official E-mail:    Bishal.Gurung@icar.gov.in

Phone (O).:          (011)-25847121-24 Extn: 4144
Research interests: Nonlinear time-series and statistical modelling, Multivariate analysis, Machine learning techniques, Optimization techniques, Kalman Filtering, Volatility Analysis, Genetic Algorithm.
Courses  Offered: Engaged in teaching Multivariate technique (AS 567), Statistical Modelling (AS 570), Forecasting Techniques (AS 667), Statistical Computing in Agriculture (CA 503), Demography (AS 573)

Dr. Bishal Gurung

Google scholar link: https://scholar.google.co.in/citations?user=-agw_o8AAAAJ&hl=en&oi=ao

Important projects:

  • Forecasting of spatio-temporal time series data using Space Time Autoregressive Moving Average (STARMA) model
  • Crop yield forecasting under Forecasting Agricultural output using Space Agro meteorology and Land based observation (FASAL) scheme
  • Future perspective of Bt technology in Indian agriculture
  • Development of count time-series models for predicting pest dynamics using weather variables
  • A study of stochastic volatility models through particle filtering. (PI)
  • A study on STAR and SV families of nonlinear time-series models for describing cyclicity and volatility in Agriculture
  • A study on modelling and forecasting of time-series with long memory processes
  • Study on volatility spillover of agricultural commodity prices
  • Modelling and construction of transcriptional regulatory network using time-series gene expression data
  • A Study on Price Efficiency in Agricultural Commodity Market

Awards and honors:

  • Awarded the G. R. Seth MemorialYoung Scientist Award by Indian Society of Agricultural Statistics in the 67th Annual conference held in BHU, Varanasi during 18th -20th December, 2013
  • Qualified CSIR-NET (2009) in Mathematical Sciences conducted by Council of scientific and industrial research (CSIR), New Delhi.
  • Qualified ICAR-NET (2009) in Agricultural Statistic sconducted by Indian Council of Agricultural Research, New Delhi.
  • IARI Merit Scholarship by Indian Agricultural Research Institute, New Delhi during the period 2008 to 2011. Stood 1st in Agricultural Statistics in IARI Ph.D. entrance.
  • Stood 1st in Agricultural Statistics in ICAR Junior Research Fellowship (JRF) Entrance by Indian Council of Agricultural Research, New Delhi in 2006.
  • University Merit Scholarship by Uttar BangaKrishiViswaVidyalaya, Coochbehar, West Bengal during the period 2002 to 2006

Important publications :

  • Gurung, Bishal, Singh, K.N., Shekhawat, Ravinder, and Yeasin, Md (2017). An insight into technology diffusion of tractor through Weibull growth model. Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2017.1289504
  • Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  • Gurung, Bishal, Singh, K.N., Shekhawat, Ravinder, and Yeasin, Md (2017). An insight into technology diffusion of tractor through Weibull growth model. Journal of Applied Statistics. http://dx.doi.org/10.1080/02664763.2017.1289504
  • Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Panwar, Sanjeev, Gurung, Biwash, and Lepcha, Lawrence (2017). An alternative method for forecasting price volatility by combining models. Communications in Statistics: Simulation and Computation. 46(6), 4627-4636. http://dx.doi.org/10.1080/03610918.2015.1124115
  • Gurung, Bishal, Panwar, Sanjeev, Singh, K.N., Banerjee, Rahul, Gurung, Sisir Raj, and Rathod, Abhisek (2017). Wheat Yield Forecast Using Detrended Yield over a Sub-Humid Climatic Environment In Five Districts of Uttar Pradesh, India. Indian Journal of Agricultural Sciences. 87(1), 87-91.
  • Kanchan, S., Gurung, Bishal, Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M. and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics. 71(1), 21-28.
  • Ibandalin, M., Kumar, S., Gurung, Bishal, Singh, K.H., and Singh, D.(2017).ASimple Spectrophotometric Method for Estimating Total Glucosinolates in Mustard de-oiled  International Journal of Food Properties.  http://dx.doi.org/10.1080/10942912.2017.1286353
  • Rathod, S., Singh, K, N. Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, Bishal, Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price. Journal of the Indian Society of Agricultural Statistics. 71(2): 103–111.
  • Panwar, S, Singh, KN, Kumar, A, Gurung, Bishal, Sarkar, S., Sivaramane and Rathore, A (2017). Pre harvest forecasting of crop yield using non-linear regression modelling: A concept. Indian Journal of Agricultural Sciences, 87(5), 685-689.
  • Bansal, Ruchi, Pradheep, K., Kumari, Jyoti, Kumar, S., Yadav, MC, Gurung, Bishal, Kumari, NKP, Rana, JC. (2016). Physiological and biochemical evaluation for drought tolerance in wheat germplasm collected from arid western plains of India. Indian Journal of Biochemistry and Biophysics, 53, 212-217.
  • Gurung, Bishal, Singh, K.N., Prajneshu, and Avnish Grover. (2016). Analysis of cyclical fish landings through ESTAR nonlinear time-series approach. Indian Journal of Fisheries. 63(2), 110-113.
  • Panwar, S, Kumar, A, Singh, KN, Gurung, Bishal and Rathore, A (2016). Use of Weather Indices approach in wheat yield crop forecast. J. Tropical Agril., ISSN: 0254-8755, 1-4.
  • Sanjeev Panwar, Anil Kumar, Priya Sharma and Gurung, Bishal (2017). Analysis of Volatile Export Data of Fruits and Vegetables Seeds: An Application of Stochastic Volatility Model using the Particle Filter. Ind. Jour. Agril. Mark. 31(1), 32-41.
  • Hemlata Bharti , P. Manivel, Gurung, Bishal, and Jitendra Kumar. (2017) Multivariate analysis of yield associated traits in Safed musli (Chlorophytum borivilianum) genotypes under semi-arid conditions. Indian Journal of Horticulture, 74(2), 264-270.
  • Angami, T., Assumi, S.R., Baruah, S., Sen, A., Bam, B., Khatoon, A., Gurung, Bishal and H. Kalita. (2017) A Study on the Quality Changes of Taktir Fruits (Garcinia lancifolia. Roxb) in Different Packages during Storage. International Journal of Current Microbiology and Applied Sciences, 6(8), 928-936.
  • Bhardwaj S.P, Gurung, Bishal, Kanchan Sinha and K.N. Singh (2016) Study on Market Efficiency and Price Risk Management in Future Trading. Ind. Jr. of Agril. Marketing. 30 (3), 48-58.
  • Panwar, S, Kumar, A, Sarkar, SK, Paul, RK, Gurung, Bishal and Rathore, A (2016) Forecasting of common carp fish production from ponds using non-linear growth models: A modelling approach. Journal of the Indian Society of Agricultural Statistics, 70 (2), 139–144.
  • Paul, AK, Kundu, MG, Paul, RK and Gurung, Bishal (2016). Usefulness of Growth Curve Parameters in early selection of pigs. Journal of the Society for Application of Statistics in Agriculture and Allied Sciences (SASAA), 1(2), 27-34.
  • Panwar, S, Singh, KN, Kumar, A, Paul, RK, Sarkar, SK, Gurung, Bishal and Rathore, A (2017). Performance evaluation of yield crop forecasting models using weather index regression analysis. The Ind. Jour. Agril. Sci., 87 (2), 270-272.
  • Paul, RK, Gurung, Bishal, Paul, AK and Samanta, S (2016). Long memory in conditional variance. Journal of the Indian Society of Agricultural Statistics, 70(3), 243-254.
  • Amit Saha, SP Bhardwaj, KN Singh, Kanchan Sinha, Avnish Grover and Gurung, Bishal (2016). Hedge ratio based on Ordinary Least Square (OLS) vs. State space methodologies. Journal of Indian Society of Agricultural Statistics. 71(1), 15-20.
  • NamitaDas Saha, Anita Chaudhary, Shiv Dhar Singh, Suresh Walia, Tapas Kumar Das, Dinesh Singh, Bhawana Pant, Arpan Bhowmik, Bishal Gurung and Himanshu Pathak. (2016) Climate change variables induced soft rot causing plant pathogen to produce new quorum sensing (cell to cell communication) signal for enhanced pathogenesis. Indian Phytopatholog, 69(4s),260-265
  • Achal Lama, Girish K Jha, Gurung, Bishal, Ranjit Kumar Paul and
    Kanchan Sinha (2016).  VAR-MGARCH models for volatility modelling pulses prices: An application. Journal of Indian Society of Agricultural Statistics. 70(2),145-151.
  • Achal Lama, Girish K Jha, Gurung, Bishal, Ranjit Kumar Paul, Anshu Bharadwaj and Rajender Parsad. (2016) A comparative study on
    time-delay neural network and GARCH models for forecasting agricultural commodity price volatility. Journal of Indian Society of Agricultural Statistics 70(1), 7-18. 
  • Gurung, Bishal, Paul, Ranjit Kumar, Singh, K.N., Panwar, Sanjeev, Lama, Achal and Lepcha, Lawrence (2015). An alternative approach to capture cyclical and volatile phenomena in time-series data. Model Assisted Statistics and Applications. 11(3), 221-230.
  • Paul, Ranjit Kumar, Gurung, Bishal, Samanta, Sandipan, and Amrit Kumar Paul (2015). Modeling Long Memory in Volatility for Spot Price of Lentil with Multi-step Ahead Out-of-sample Forecast Using AR-FIGARCH Model. Economic Affairs, 60(3), 457-466.
  • Paul, Ranjit Kumar, Samanta, Sandipan, and Gurung, Bishal (2015). Monte Carlo simulation for comparison of different estimators of long memory parameter: An application of ARFIMA model for forecasting commodity price. Model Assisted Statistics and Applications. 10 (2), 117-128.
  • Gurung, Bishal, Singh, K.N., Paul, Ranjit Kumar, Arya, Prawin, Panwar, Sanjeev, Paul, Amrit, Gurung, Sisir Raj and Lama, Achal (2015). Fitting Stochastic Volatility model through Genetic Algorithm. International Journal of Agricultural and Statistical Sciences. 11, Supplement 1,257-264.
  • Joshi, Deepika, Singh, H.P., and Gurung, Bishal (2015). Stability Analysis of Indian Spices Export – A Markov Chain Approach. Economic Affairs. 60 (2), 257-262.
  • Ranjit Kumar Paul, P. S. Birthal, Amrit Kumar Paul and Gurung, Bishal (2015). Temperature trend in different agro-climatic zones in India. 66(4), 841-846.
  • Lama, Achal, Jha, GK, Paul, Ranjit Kumar, Gurung, Bishal (2015). Modelling and forecasting of price volatility: An application of GARCH and EGARCH models. Agricultural Economics Research Review. 28 (1), 73-82.
  • Gurung, Bishal (2015). An Exponential Autoregressive (EXPAR) model for the forecasting of All India annual rainfall. 66(4), 847-849.
  • Devi, C.P., Munshi, A.D., Behera, T.K., Choudhary, H., Vinod, Gurung, Bishal, Saha, P. (2015). Cross compatibility study in interspecific hybridization of Solanum melongena and its wild relatives. Scientia Horticulturae. 193, 353–358.
  • Paul, Ranjit Kumar, Gurung, Bishal, and Samanta, Sandipan (2015). Analyzing the Effect of Dual Long Memory Process in Forecasting Agricultural Prices in Different Markets of India. International Journal of Empirical Finance. 4(4), 235-249.
  • Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2014). Kalman filter based modelling and forecasting of stochastic volatility with threshold. Journal of Applied Statistics. 42(3), 492-507.
  • Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2014). Fitting EXPAR models through the extended Kalman filter. Sankhya B. 77(B 1), 27-44.
  • Gurung, Bishal, Paul, Ranjit Kumar and Ghosh, Himadri. (2014) Fitting Smooth Transition Autoregressive nonlinear time-series model using Particle Swarm Optimization technique. Journal of Indian Society of Agricultural Statistics. 68(3), 327-332.
  • Lawrence Lepcha, Gurung, Bishal, Paul, Ranjit Kumar, and Kanchan Sinha (2014). Stochastic model for sticklac forecasting in India. Economic Affairs. 59(3),479-483.
  • Gurung, Bishal, Paul, Ranjit Kumar, and Lawrence Lepcha (2014). Volatility and cointegration in export of livestock and marine products of India. Indian Journal of Animal Sciences. 84(11),1244-1247.
  • Gurung, Bishal, Prajneshu, and Ghosh, Himadri (2014). Stochastic Volatility Model Fitting using Particle Filter: An Application. Journal of Indian Society of Agricultural Statistics. 68(3), 343-350.
  • Paul, Ranjit Kumar, Gurung, Bishal, and Paul, Amrit Kumar (2014). Modelling and forecasting of retail price of Arhar Dal in Karnal, Haryana. Indian Journal of Agricultural Sciences. 85(1), 69-52.
  • Assumi, R., Pal, R.K., Gurung, Bishal, and Kaur, C. (2014). Physico-chemical characteristics and sensory quality of pineapple vermouth. Indian Journal of Horticulture. 71(3), 402-407.
  • Gurung, Bishal (2014). Fitting nonlinear time-series model using Swarm Optimization technique. Advance in Electronic and Electric Engineering, 4(6), 537-540.
  • Gurung, Bishal, Ghosh, Himadri and Prajneshu (2013). Forecasting volatile time-series data through Stochastic volatility model, Indian Journal of Agricultural Sciences, 83(12), 1368-71.
  • Gurung, Bishal (2013). Modelling and forecasting of volatile time-series data: An application of Genetic International Journal of Agricultural and Statistical Sciences. 9, 87-94.
  • Gurung, Bishal (2013). An application of Exponential Autoregressive (EXPAR) nonlinear time-series model. International Journal of Information and Computation Technology. 3(4), 261-266.

Ghosh, Himadri, Gurung, Bishal, and Prajneshu (2011). Methodology for combining linear and nonlinear time-series models for cyclical data. Journal of Indian Society of Agricultural Statistics, 65, 249-56.

Scientist

On Study leave

Official E-mail:     kanchan.sinha@icar.gov.in

Phone (O).:               (011)-25847121-24
Research interests: Statistical Modeling, Machine Learning, Forecasting, Econometrics

Courses  Offered: Stochastic Processes, Statistical Quality Control, Econometrics, Seminar

Award and Honors: 

  • Uttar Banga Krishi Viswavidyalaya (UBKV), Pundibari, Coochbehar, West Bengal Under Graduate (UG) scholarship
  • Junior Research Fellowship (JRF) Post Graduate (PG) under ICAR-IARI, New Delhi.
  • Senior Research Fellowship (SRF) for pursuing Ph.D. under ICAR-IARI, New Delhi.
  • Senior Research Fellowship under ICAR, Headquarter New Delhi

Kanchan Sinha

Google Scholar Link: https://scholar.google.co.in/citations?user=QDNfPOgAAAAJ&hl=en&oi=ao

Training organized:

Organized a workshop on ‘Application of Forecasting Techniques in Agriculture Using Advanced Software Packages’ in Hindi during March 26-31, 2016 at IASRI, New Delhi.

Important projects:

  • Study on volatility spillover of agricultural commodity prices (PI).
  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-PI).
  • A study on market efficiency of agricultural commodity prices. (Co-PI).

 Important Publications:

  • Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  • Sinha, K., Gurung, B., Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics, 71 (1), 21-28.
  • Anjoy, P., Paul, R. K., Sinha, K., Paul, A. K. and Ray, M. (2017). A hybrid wavelet based neural networks model for predicting monthly WPI of pulses in India. Indian Journal of Agricultural Sciences. 87 (6), 834-839.
  • Amit Saha, A., Bhardwaj, S.P., Singh, K.N., Sinha, K., Grover, A. and Gurung, B. (2017) Hedge Ratio based on Ordinary Least Squares (OLS) Vs State Space Methodologies, Journal of the Indian Society of Agricultural Statistics, 71(1), 15–20.
  • Singh, Sh. H., Narasimiah, L., De, S., Sinha, K., Sathish, G. and Sahu, P.K. (2017) Discriminant analysis: a tool for identifying significant socio-economic correlates in farming system – a case study, Journal of Crop and Weed, 13(1), 42-45.
  • Rathod, S., Singh, K.N., Paul, R.K., Meher, S.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An improved ARFIMA model using maximum overlap discrete wavelet transform (MODWT) and ANN for forecasting agricultural commodity price. Journal of the Indian Society of Agricultural Statistics. 71(2), 103-111.
  • Lama, A., Jha, G. K., Gurung, B., Paul, R. K., Sinha, K. (2016) VAR-MGARCH Models for Volatility Modelling of Pulses Prices: An Application, Journal of the Indian Society of Agricultural Statistics, 70(2), 145-151
  • Bhardwaj, S. P., Gurung, B. and Sinha, K. (2016) Commodity Futures a New Form of Marketing Based on Market Fundamentals, Indian Journal of Agricultural Economics, 71 (3), 314
  • Bhardwaj, S. P., Gurung, B., Sinha, K. and Singh, K. N. (2016) Study on market efficiency and price risk management in future trading, Indian Journal of Agricultural Marketing 30 (3s), 48-58
  • Sinha, K, Paul, R.K. and Bhar, L. M. (2016) Price Transmission and Causality in major onion markets of India. Journal of the Society for Application of Statistics in Agriculture and Allied Sciences (SASAA), 1(2), 35-40.
  • Alam, W, Chaturvedi, A, Kumar, A, Singh, KN and Sinha, K (2016). Sequential testing for decision making in the management of mustard aphid using size-biased negative binomial distribution. Int. J. Agricult. Stat. Sci. 12(2), 531-535.
  • Paul, R. K. and Sinha, K. (2016) Forecasting crop yield: ARIMAX and NARX model, RASHI, 1(1), 77-85
  • Paul, R. K. and Sinha, K. (2015) Spatial market integration among major coffee markets in India, Journal of the Indian Society of Agricultural Statistics, 69 (3), 281-287
  • Jha, G. K. and Sinha, K. (2014) Time-delay neural networks for time series prediction: an application to the monthly wholesale price of oilseeds in India, Neural Computing and Applications, 24 (3-4), 563-571
  • Lepcha, L., Gurung, B., Paul, R. K. and Sinha, K. (2014) Stochastic model for sticklac forecasting in India, Economic Affairs 59 (3), 479
  • Jha, G. K. and Sinha, K. (2013) Agricultural Price Forecasting Using Neural Network Model: An Innovative Information Delivery System, Agricultural Economics Research Review 26 (2)

Books Edited (e-books):

Sinha, K, Alam, W, Panwar, S and Gurung, B. (2016). Study on Volatility Spillover of Agricultural, Commodity Prices. IASRI, New Delhi-12

Scientist

305, Training cum Administrative Block (New Building)

Official E-mail: santosha.rathod@icar.gov.in

Phone (O).:        (011)-25847121-24     Extn: 4115

Research interests: Statistical modeling, Time Series Analysis, Spatio-temporal Modeling of time series, Multivariate Analysis, Machine Learning techniques.

Courses  Offered: Senior Certificate Course (Paper-I), Stochastic Process

Award and Honors: UGC fellowship for Ph.D prograamme at Banaras Hindu University, Indaia.

Mr. Santosha Rathod

Google Scholar Link: https://scholar.google.co.in/citations?user=jpO-NcoAAAAJ&hl=en

Training organized:

  • Organized a training programme on “Technology Forecasting Methods” for RA and SRF of ICAR during 20 to 21 July, 2016 as a Course Coordinators at ICAR-IASRI, New Delhi.
  • Organized a Hindi training programme on “Statistical Modeling and Forecasting Techniques for Agricultural Data” for technical personnel of ICAR-IASRI, New Delhi during 09.02.2017 to 14. 02.2017.
  • Qualified ICAR-NET (2013) in Agricultural Statistic sconducted by Indian Council of Agricultural Research, New Delhi.          

Important projects:

  • Forecasting of spatio-temporal time series data using Space Time Autoregressive Moving Average (STARMA) model (PI).
  • Nonparametric bootstrap approach for constructing prediction intervals for non-linear and bivariate time series models (Co-PI).
  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-PI).
  • Future perspective of Bt. technology in Indian agriculture (PI).
  • Development of methodology using RS, GPS & GIS for delineating area of a district in different fertility zones for precise fertilizer recommendations based on available soil nutrients (PI).

Important Publications:

  • Rathod, S., Singh, K,N., Paul, R.K., Meher, R.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An Improved ARFIMA Model using Maximum Overlap Discrete Wavelet Transform (MODWT) and ANN for Forecasting Agricultural Commodity Price.  Journal of the Indian Society of agricultural Statistics. 71(2): 103–111.
  • Kanchan, S., Gurung, B., Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics, 71 (1), 21-28.
  • Rathod, S., Mishra, G.C. (2017). Weather based modeling for forecasting area and production of mango in Karnataka. International Journal of Agriculture Environment and Biotechnology. 10(1): 1-8.
  • Naveena, K., Subedar Singh, Santosha Rathod and Abhishek Singh. (2017). Hybrid ARIMA-ANN Modelling for Forecasting the Price of Robusta Coffee in India.  International Journal of Current Microbiology and Applied Sciences, 6(7): 1721-1726.
  • Naveena, K., Subedar Singh, Santosha Rathod and Abhishek Singh (2017) Hybrid Time Series Modelling for Forecasting the Price of Washed Coffee (Arabica Plantation Coffee) in India. International Journal of Agriculture Sciences, 9(10): 4004-4007.
  • Meena, V.S., Mittal, R. K., Choudhury, P. R., Rathod, S., Mahadevaswamy, H. K. and Choudhary, R. (2017). Utilization of molecular and morphometric tools for assessment of genetic diversity of Rice bean [Vigna umbellata (Thunb.) Ohwi and Ohashi]. International Journal of Current Microbiology and Applied Sciences. 6(5): 2882-2892.
  • Pardhi, R., Singh, R., Rathod, S. and Singh, P.K. 2016. Effect ofPrice of Other Seasonal Fruits on Mango Price in Uttar Pradesh. Economic Affairs, 61(4):1-5.
  • Naganagoudar, Y.B, Kenchanagoudar, P.V., Rathod, S., Keerthi, C.M., Nadaf, H.L. and Channappagoudar, B.B. (2016). Inheritance of fresh seed dormancy in recombinant inbred lines (RIL) developed for mapping population TAG 24 x GPBD 4 in groundnut (Arachis hypogeal L.), Legume Research, 39 (5): 844-846.
  • Naveena, K., Rathod, S., Shukla, G. and Yogish, K.J. (2014). Forecasting of coconut production in India: A suitable time series model, International Journal of Agricultural Engineering, 7(1):190-193.
  • Naveena, K., Rathod, S., Shukla, G. and Yogish, K.J. (2014). Forecasting of coconut production in India: A suitable time series model, International Journal of Agricultural Engineering, 7(1):190-193.
  • P. Bhavana, C.P., Munirajappa, R., Surendra, H.S. and Rathod, S. (2013). Effect of Rainfall Patterns on Crop Yield in Southern Dry Zone of Karnataka.  Environment & Ecology. 31 (2): 888-891.
  • B.B., Naganagoudar, Y.B., Rathod, S., Channappagoudar, S. B. and Babu. V. (2013). Influence of herbicides on physiological characters of Brinjal (Solanum melongena L.). Bioinfolet, 10 (3 B): 1014 – 1018.
  • Chnnappagoudar, B.B., Naganagoudar, Y.B., Rathod, S. Channappagoudar, S.B and Mane, S.S.  (2013). Influence of herbicides on physiological characters of Turmeric. 10 (3 B): 1019-1022.
  • Chnnappagoudar, B.B., Mane, S.S. Naganagoudar, Y.B., Channappagoudar, S.B and Rathod, S.  (2013). Crop Weed Competition and Chemical Control of Weeds in Turmeric, Environment & Ecology. 31 (2): 532-536.
  • Chnnappagoudar, B.B., Babu, V., Naganagoudar, Y.B., Channappagoudar, S.B and Rathod, S. (2013). Crop Weed Competition and Chemical Control of Weeds in Brinjal (Solanum melongena L.), Environment & Ecology. 31 (2): 532-536.
  • Chnnappagoudar, B.B., Babu, V., Naganagoudar, Y.B. and Rathod, S. (2013). Influence of herbicides on morpho-physiological Growth parameters in turmeric (curcuma longa L.), The Bioscan, 8(3): 1019-1023.
  • Chnnappagoudar, B.B., Mane, S.S. Naganagoudar, Y.B. and Rathod, S. (2013). Influence of herbicides on morpho-physiological Growth parameters in brinjal (solanum melongena L.), The Bioscan, 8(3): 1049-1052.
  • Narayanaswamy, T., Surendra, H. S and Rathod, S. (2012). Multiple stepwise regression analysis to estimate root length, seed yield per plant and number of capsules per plant in Sesame (Seasamum indicum L.). Mysore journal of agricultural sciences. Vol: 46 (3): 581-587.
  • Narayanaswamy, T., Surendra, H. S and Rathod, S. (2012).  Fitting of statistical models for growth patterens of root and shoot morphological traits in Sesame (Seasamum indicum L.). Environment & Ecology. Vol: 30 (4): 1362-1365.
  • P. Bhavana, C.P., Munirajappa, R., Surendra, H.S. and Rathod, S. (2012). Modeling of Daily Rainfall using Gamma Probability Distribution. Environment & Ecology. Vol: 30 (3B): 884-888.
  • Rathod, S. Surendra, H. S., Munirajappa, R. and Gowda, D. M. (2011).  Statistical appraisal on the agricultural diversification in different districts of Karnataka. Mysore journal of agricultural sciences. Vol: 45 (4): 788-794.
  • Rathod, S. Surendra, H. S., Munirajappa, R. and Chandrashekar. H (2011).  Cluster analysis on Area, Production and Productivity for major selected crops in Karnataka. Mysore journal of agricultural sciences. Vol: 46 (2): 193-299.
  • Rathod, S. Surendra, H. S., Munirajappa, R. and Chandrashekar. H (2011).  Statistical assessment on the factor influencing agricultural diversification in different districts of Karnataka. Environment & Ecology. Vol: 30 (3A): 790-794.

Books (Manual):

  • Statistical Modeling and Forecasting for Agricultural Data by Rajeev Ranjan Kumar, Santosha Rathod, Ravindra Singh Shekhawat. (2017). ICAR-IASRI, New Delhi.

Scientist

410, Training cum Administrative Block (New Building)

Official E-mail: mrinmoy.ray@icar.gov.in

Phone (O).:      (011)-25847121-24     Extn: 4168

Research interests: Statistical Modeling, Soft Computing, Technology Forecasting.

Courses  Offered: Stochastic Processes, Artificial Neural Networks, Senior Certificate (Paper-I)

Award and Honors:

  • Junior Research Fellowship by
  • University Merit Scholarship by Uttar BangaKrishiViswaVidyalaya, Coochbehar, West Bengal during the period 2005 to 2009

Dr. Mrinmoy Ray

Google Scholar Link:  https://scholar.google.co.in/citations?user=Te5DynoAAAAJ&hl=en

Training organized:

  • Organized a training programme on “Technology Forecasting Methods” for RA and SRF of ICAR during 20 to 21 July, 2016 as a Course Coordinators at ICAR-IASRI.
  • Organized CAFT training programme on “Advances in Statistical Modeling and Forecasting in Agriculture” during December 23, 2016 to January 12, 2017 as a Course Coordinator at ICAR-IASRI.

Important projects:

  • Nonparametric bootstrap approach for constructing prediction intervals for non-linear and bivariate time series models (PI).
  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-PI).
  • Forecasting of spatio-temporal time series data using Space Time Autoregressive Moving Average (STARMA) model (Co-PI).
  • Future perspective of Bt. technology in Indian agriculture (PI).

 

Important Publications:

 

  • Ray, M., Rai, A., Singh, K. N., V., Ramasubramanian and Kumar, A. (2017). Technology forecasting using time series intervention based trend impact analysis for wheat yield scenario in India. Technological Forecasting and Social Change, 118, 128-133.
  • Anjoy, P., Paul, R. K., Sinha, K., Paul, A. K. and Ray, M. (2017). A hybrid wavelet based neural networks model for predicting monthly WPI of pulses in India. Indian Journal of Agricultural Sciences. 87 (6), 834-839.
  • Kanchan, S., Gurung, B., Paul, R.K., Kumar, A., Panwar, S., Alam, W., Ray, M and Rathod, S. (2017). Volatility Spill over using multivariate GARCH model: An application in futures and spot market price of black pepper. Journal of the Indian Society of Agricultural Statistics, 71 (1), 21-28.
  • Rathod, S., Singh, K.N., Paul, R.K., Meher, S.K., Mishra, G.C., Gurung, B., Ray, M. and Sinha, K. (2017). An improved ARFIMA model using maximum overlap discrete wavelet transform (MODWT) and ANN for forecasting agricultural commodity price. Journal of the Indian Society of Agricultural Statistics. 71(2), 103-111.
  • Ray, M., Rai, A, V., Ramasubramanian and Singh K. N. (2016). ARIMA-WNN hybrid model for forecasting wheat yield time series data. Journal of the Indian Society of Agricultural Statistics, 70(1), 63-70.
  • Ray, M., V., Ramasubramanian, Kumar, A. and Rai, A. (2014). Application of time series intervention modelling for modelling and forecasting cotton yield. Statistics and Applications, 12 (1&2), 61-70.

 

Books Edited (e-books):

 

Advances in Statistical Modeling and Forecasting in Agriculture by Bishal Gurung and Mrinmoy Ray, ICAR- IASRI, New Delhi. http://cbp.icar.gov.in/ebook22.aspx?trainingApprovedId=CAFT-20161529&trainingTitle=Advances%20in%20Statistical%20Modeling%20and%20Forecasting%20in%20Agriculture

 

Book Chapters:

Mukherjee, A., Rakshit, S., Nag, A., Ray, M., Kharbikar, H. L., Kumari, S., Sarkar, S., Paul, S., Roy, S., Maity, A., Meena, V. S. and Burman, R. R. (2016). Climate Change Risk Perception, Adaptation and Mitigation Strategy: An Extension Outlook in Mountain Himalaya. In: Jaideep Kumar Bisht, Vijay Singh Meena, Pankaj Kumar Mishra and Arunava Pattanayak Edition. Conservation Agriculture (pp. 257-292). Singapore. Springer Singapore.

Scientist

315, Training cum Administrative Block (New Building)

Official E-mail: ravindra.shekhawat@icar.gov.in

Phone (O).:    (011)-25847121-24     Extn: 4143

Research interests: Impact Assessment of Agricultural Technology, Farm Mechanization, Panel Modelling, Developmental Economics

Courses  Offered: Econometrics

Award and Honors:

  • National Talent Scholarship by ICAR
  • Junior Research Fellowship by ICAR.
  • Senior Research Fellowship by ICAR

Dr. Ravindra Singh Shekhawat

Google Scholar Link: https://scholar.google.co.in/citations?hl=en&btnA=1&authorid=18378542523407069727&user=UROMc34AAAAJ

Training organized:

  • Organized a Hindi Training Programme entitled “कृषि आँकड़ों की मॉडलिंग एवं पूर्वानुमान के लिए सांख्यिकीय तकनीकें” for technical personnel of ICAR-IASRI, New Delhi for six days from 09.02.2017 to 14.02.2017 as course Co-Coordinator.

Important projects:

  • Tractorization in Semi-Arid Tropic (SAT) India: Determinants and Implications (PI).
  • Future perspective of Bt. technology in Indian agriculture (Co-PI).
  • Modelling and Forecasting of Drought Index using Machine Learning Techniques (Co-PI)

Important Publications:

  • Shekhawat, R. S., Singh, K. N., Burark, S. S., Meena, G. L. and Shekhawat, N. (2017). Agribusiness and Food Processing Industries in Uttar Pradesh State of India. Asian Journal of Agricultural Extension, Economics & Sociology, 15(4): 1-7.
  • Prakash, A., Singh, H. N. and Shekhawat, R. S. (2017). Resource Use Efficiency in Hybrid and Inbred Rice Production in Uttarakhand. Asian Journal of Agricultural Extension, Economics & Sociology, 18(1): 1-7.
  • Prakash, A., Singh, H. N., Shekhawat, R. S. and Sandu, S. (2017). Comparative Analysis on Economic Efficiency of Hybrid and Inbred Rice Production in Udham Singh Nagar District of Uttarakhand. Journal of Economics, Management and Trade, 18(4): 1-7.
  • Gurung, B., Singh, K.N., Shekhawat, R.S. and Yeasin, Md. (2017). An Insight into Technology Diffusion of Tractor through Weibull Growth Model. Journal of Applied Statistics. (Published online).
  • Boyal, V. K., Pant, D. C., Burark, S. S., Shekhawat, R. S. and Mehra, J. (2015). Growth and Instability in Production of Cumin in Rajasthan. Journal of Agricultural Research and Technology, 40(2): 309-314.
  • Shekhawat, R. S. and Singh, S. P. (2014). Impact of Futures Trading on Wholesale Price Indices (WPI) of Agricultural Commodities in India. Annals of Agri-Bio Research, 19 (2): 335-339.
  • Shekhawat, R. S. and Singh, S. P. (2014). Impact of Futures Trading on Volatility in Spot and Futures Prices of Agricultural Commodities in India. Journal of Plant Development Science, 6 (2): 255-259.
  • Shekhawat, N. Jadeja, G. C., Singh, J. and Shekhawat, R. S. (2014). Character Association Studies among Yield and its Component Characters in Indian Mustard (Brassica Juncea L. Czern & Coss). The Bioscan, 9(2): 685-688.

Books Edited (e-books):

  • Shekhawat, R. S., Singh, K. C. and Ranawat, J. S. (2013). Marketing Strategies for Bio pesticides: A Study in Chittorgarh District of Rajasthan in India. LAP LAMBERT Academic Publishing, Germany, ISBN No. 978-3-659-14148-5.
  • Ojha, P., Kwatra, S. and Shekhawat, R. S. (2017). Postural Discomfort of Farm Worker in Uttarakhand State of India. LAP LAMBERT Academic Publishing, Germany, ISBN No. 978-3-330-08307-3.

Books (Manual):

  • Statistical Modeling and Forecasting for Agricultural Data by Rajeev Ranjan Kumar, Santosha Rathod, Ravindra Singh Shekhawat. (2017). ICAR-IASRI, New Delhi.

Scientist

210, Administrative cum Training Block (New Building)

Official E-mail: rajeev.kumar4@icar.gov.in

Phone (O).:        (011)-25847121-24       Extn: 4112

Research interests: Econometrics, Machine learning Techniques, Environment and Climatic studies.

Rajeev Ranjan Kumar

Training organized:

  • Organized an hindi training programme on “Statistical Modelling and Forecasting Techniques for Agricultural Data” for technical/Scientist during February 09-14, 2017 as a Course Director.

Important projects:

  • Modelling and forecasting of drought index using machine learning techniques (PI)
  • Development of Hybrid Time Series Models using Machine Learning Techniques for Forecasting Crop Yield with Covariates (Co-PI)
  • Tractorization in Semi Arid Tropic India: Determinants and Implications (Co-PI)

Books (Manual):

Statistical Modeling and Forecasting for Agricultural Data by Rajeev Ranjan Kumar, Santosha Rathod, Ravindra Singh Shekhawat. (2017). ICAR-IASRI, New Delhi.

Scientist

Room No.: 314

Official E-mail: achal.lama@icar.gov.in

Phone (O).:      7827691202  Extn: 4150

Research interests: Bayesian econometrics, Machine Learning, Multivariate time series, Volatility modelling

Awards and Honors:

  • Junior Research Fellowship (ICAR-JRF, 2011)
  • University Merit Scholarship (2007-2011) of Bidhan Chandra Krishi Viswavidyalaya

Dr. Achal Lama

Google Scholar citation: https://scholar.google.co.in/citations?user=77r2A_AAAAAJ&hl=en

Important Publications:

Lama, A., Jha, G.K., Paul, R.K. and Gurung, B. (2015). Modelling and Forecasting of Price Volatility: An Application of GARCH and EGARCH Models. Agricultural Economics Research Review, 28 (1), 73-82.

Lama, A., Jha, G.K., Gurung, B., Paul, R.K., Bharadwaj, A. and Parsad, R. (2016). A Comparative Study on Time-delay Neural Network and GARCH Models for Forecasting Agricultural Commodity Price Volatility. Journal of the Indian Society of Agricultural Statistics, 70 (1), 7-18.

Lama, A., Jha, G.K., Gurung, B., Paul,R.K. and Sinha, K. (2016). VAR-MGARCH Models for Volatility Modelling of Pulses Prices: An Application. Journal of the Indian Society of Agricultural Statistics, 70 (2), 145-151.

Gurung, B., Paul, R.K., Singh, K.N., Panwar, S., Lama, A. and Lepcha, L. (2016). An alternative approach to capture cyclical and volatile phenomena in time-series data. Model Assisted Statistics and Applications, 11(3), 221-230.

Scientist

Official E-mail: anuja.akathootu@gmail.com

Phone (O).:      (011) 25847121-24

Research interests:

  • Agriculture Marketing,
  • Labor migration,
  • Gender empowerment

Anuja A R

Scientist

Official E-mail: shiva644@gmail.com

Phone (O).:      (011) 25847121-24

Research interests: Agricultural development and policy

Shivaswamy G.P.

Scientist

Official E-mail: rajesh.5073@gmail.com

Phone (O).:      (011) 25847121-24

Research interests: Agricultural development and policy

Rajesh T.

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