Dr. Kamalesh Narain Singh


Dr. Kamalesh Narain Singh

  • 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).



Head (A) Forecasting & Agricultural Systems

  • 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”.
  • 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).
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