Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies

Paltasingh, Kirtti Ranjan, Phanindra Goyari. 2018. "Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies." Asian Journal of Agriculture and Development 15(1): 42-60.

Weather factors, like other inputs such as land, labor, seeds, irrigation, fertilizer, and pesticides are also direct inputs in crop production. In a state of agriculture where the adoption and diffusion of modern technologies is very low or almost nil, weather factors count more than other inputs because of their direct and indirect effects. Thus, the link between weather and crop yield will have implications on food supply and crop forecasting and management policies. It is of immense importance to the policymakers, agricultural scientists, agricultural economists, and meteorologists to understand this relationship. The methodology for studying this relationship has undergone many improvements over time. This paper attempts to review the studies in this area done in India and a few from abroad that brought an evolution in the methodology of crop-weather modeling.

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