Development and validation of spectrometeorological yield models of mustard oil seed crop in Rajasthan state |
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| Authors: | M B Potdar K R Manjunath N L Purohit |
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| Institution: | (1) National Institute of Hydrology, Roorkee, India;(2) College of Technology and Engineering, Udaipur, India;(3) Indian Institute of Technology, Roorkee, India |
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| Abstract: | Attempt has been made to develop spectro meteorological yield models using normalized difference vegetation index (NDVI) derived from NOAA AVHRR data over the crop growth period and monthly rainfall data for predicting yield of mustard crop. The AVHRR data spanning seven crop growing seasons, the rain gauze station-level rainfall data and crop yield data determined from crop cutting experiments (CCE) conducted by state Directorate of Economics and Statistics (DES) are the basic input data. A methodology has been developed to normalize the multi-temporal NDVIs for the minimisation of atmospheric effects, which is found to reduce the noise in NDVI due to varying atmospheric conditions from season to season and improve the predictability of statistical multiple linear regression yield models developed for nine geographically large districts of Rajasthan state. The spectro meteorological yield models had been validated by comparing the predicted district level yields with those estimated from the crop cutting experiments. |
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