Bhartiya Krishi Anusandhan Patrika, volume 36 issue 4 (december 2021) : 273-279

Modeling and Forecasting of Agricultural Commodity Production under Changing Climatic Condition: A Review

Rahul Banerjee, Pankaj Das, Bharti, Tauqueer Ahmad, Manish Kumar
1Division of Sample Surveys, ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110 012, India.
  • Submitted26-08-2021|

  • Accepted03-12-2021|

  • First Online 14-01-2022|

  • doi 10.18805/BKAP362

Cite article:- Banerjee Rahul, Das Pankaj, Bharti, Ahmad Tauqueer, Kumar Manish (2022). Modeling and Forecasting of Agricultural Commodity Production under Changing Climatic Condition: A Review. Bhartiya Krishi Anusandhan Patrika. 36(4): 273-279. doi: 10.18805/BKAP362.

India is a country with an agrarian economy in which majority of its population rely on agriculture directly as their source of livelihoof. Climate has a very significant role in agricultural production. It predominantly influences growth of the crop, development of the crop and eventually crop yield. Climate also significantly influences the outbreak of disease and pest; it affects the requirement of water by the crop. Possible changes in weather factors, like precipitation, temperature and CO2 concentration are expected to have a significant impact on crop growth. If farmers are able to predict the weather activities and are aware of the effect of these activities on crop production, then it will be beneficial to them as a feasible plan can be devised synchronizing the crop production activities as per changes in the climatic conditions. In view of tackling the aforementioned problem, this article describes various statistical techniques that can play a crucial role in forecasting production of agricultural commodities changing climatic conditions.

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