National Academy of Agricultural Sciences (NAAS)
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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706 Issues : 12 per year Publisher : Excellent Publishers Email : editorijcmas@gmail.com / submit@ijcmas.com Editor-in-chief: Dr.M.Prakash Index Copernicus ICV 2018: 95.39 NAAS RATING 2020: 5.38 |
Regression models by Hendrick and Scholl technique were developed on sorghum for Tapi and Surat districts of South Gujarat. The daily weather data were used in the study as indicator in crop yield prediction were collected for a period of 32 years. The 28 year data was used for development of the model. The validation of model was done using data set of 2010, 2011, 2012 and 2013. The stepwise regression analysis was executed by trial and error method to obtain finest combination of predictors, significant at 5 % level. Crop yield forecasting models gave good estimates and produce error percent within acceptable range. The study reveled that the percent forecast error for different years were varied from 5.06 to 23.16 for yield forecasting models in Tapi district and -15.73 to 2.76 for yield forecasting models in Surat district for sorghum crop. Lowest RMSE observed in model-2 for both districts with value 11.21 and 8.5 for Tapi and Surat, respectively
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