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 |
Pre harvest yield forecasting models play a vital role in policy planning and decision - making premises. The data on biometrical characters of paddy along with yield was collected to train the model and test for prediction. Three models were developed using the Multiple linear regression method. Model 1 was developed using the original data values, Model 2 was developed using the logarithmic values and Model 3 using the square root of the independent variables. From the validation measures such as RMSE, AIC and BIC values, it was observed that Model 2 was proved to be the best fit for preharvest prediction.
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