Sugarcane yield forecast using weather based discriminant analysis

Abstract

Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant function analysis has been carried out. The scores calculated from function this along with the trend have used as regressors in developing yield forecast models. The forecast models based on two groups and groups have been compared. The results show that the forecast models using three groupsare considered to be better.