Crop Yield Forecasting by Adaptive Neuro Fuzzy Inference System

Abstract

Meteorological uncertainties affect crop yield portentously during different stages of crop growing seasons, therefore several studies have been carried out to forecast crop yield using climatic parameters with empirical statistical regression equations relating regional yield with predictor variables. In this study an attempt has been made to develop Crop Yield Forecasting models to map relation between climatic data and crop yield. Present study was undertaken for forecasting rice yield by adaptive neuro fuzzy inference system (ANFIS) technique based on time series data of 27 years, yield and weather data (w.e.f. 1981-82 to 2007-08) obtained from G. B. Pant University of Agriculture and Technology, Pantnagar, District Udham Singh Nagar, Uttarakhand, India.

Keywords: climate, crop yield, ANFIS, forecasting