Division of Forecasting and Agricultural Systems Modeling (F&ASM) deals with basic and applied research in statistical modeling and forecasting of agricultural and environmental phenomena with special emphasis on methodological and computational aspects to cater to the needs of various stakeholders viz., subject matter specialists, researchers, and scientists, fellow statisticians, policy makers, in the National Agricultural Research System. The major objective of the division is to undertake research, teaching and training in the field of forecasting and agricultural systems modeling including econometric modeling and impact assessment studies in agriculture. To meet these objectives, so far, new theoretical and improved and modified approaches of the existing ones have been developed. Various models and methodologies have been employed and /or developed which come under the gamut of regression, stochastic, time series and data mining. During initial years, the emphasis was more on forecasting of crop statistics mainly relating to its production and yield and also on forewarning of crop pests and diseases. Over the years, the division has adapted itself to the changing scenario and demands of the present era. In recent years, work is also being carried out using machine learning techniques.

The division is engaged in developing various advanced linear and nonlinear time series models in agriculture. Studies on technology forecasting for envisioning the main areas of research and key technologies in various domains of agriculture is a continuing activity. In addition, work is being carried out on multivariate time series using advanced modeling techniques apart from studies using the aforementioned approaches. The scientists of the division are also involved in research related to Spatio-temporal modeling of time series data and Bayesian time series modeling. Impact assessment studies and econometric modeling are also being conducted in this division. Scientists are also involved in senior certificate, postgraduate and doctoral level teaching and refresher training programmes. Scientists also provide advisory and consultancy services to students, scientists and policymakers of the country.