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 |
Forecasting of sunflower production is of utmost importance in state of Odisha. Forecasted values of area and yield of sunflower are used to forecast production of sunflower. Forecasting done by the help of best fit regression model is quite reliable. Selecting the appropriate models that would fit the data is done through the help of scatter plot of the data. The model to be considered for best fit has to satisfy the error assumptions and must have all the estimated coefficients significant. Among the models satisfying the error assumptions and having all the estimated coefficients significant, the one having highest value of R2, highest value of adjusted R2 and lowest value of RMSE is considered to be the best fit model. This best fit model should be used for forecasting. The compound model and quadratic model are found to be the best fit models for forecasting area and yield of sunflower in Odisha.
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