Yield prediction model of summer groundnut based on spectral characteristics

Abstract

Spectral characteristics were studied at pod development stage (75 DAS) in summer groundnut, at Pune, in western Maharashtra plain zone. A simple regression model (yield vs. vegetation index, R²= 0.94) and another multiple regression model (yield vs. B: R, G: R, NIR: R and VI, R²= 0.99) were developed to predict the yields of summer groundnut. The yield prediction model based on spectral ratios at pod development stage (75 DAS) is helpful in forecasting the yield of summer groundnut, one month in advance, in western Maharashtra plain zone.