Pre harvest crop yield forecast is required for storage, pricing, marketing, import, export etc. Weather is the main factor which affects crop yield. Variability in weather causes the losses in the yield. Use of weather can be done for crop production forecast. Weather plays an important role in crop growth. Therefore model based on weather parameters can be provide reliable forecast in advance for crop yield. In this study, the focus was on the development crop yield forecast (CYF) model through stepwise linear regression technique using weather variables and historic crop yield. The model use, maximum and minimum temperature, rainfall, relative humidity and sunshine hours during crop growing period and long term yield data of wheat crop. | Yield prediction of wheat at pre-harvest stage using regression based statistical model for 8 district of Chhattisgarh, India
