**9. Crop yield and production forecasting**

Various statistical-empirical relationships between yield and vegetation indices have been used in remote sensing to forecast crop yields [52, 53]. Information on crop production before harvest is essential for national food policy planning. Forecasting crop production requires reliable crop yields. A number of factors influence crop yield, including crop variety, water and nutrient status of a field, weed infestations, pest and disease infestations, and weather parameters. It is dependent on these factors that the spectral response curve appears. Spectral response curves indicate the crop's performance and condition based on their growth and decay. Menon [19] suggests that growth profiles can be constructed and yield related parameters can be extracted by using IRS P3 WiFS (Wide Field Sensor) and IRS-1C WiFS.
