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 |
The present study “Identification of the best model for forecasting of sugar production among linear and non-linear model.” emphasis on the factors affecting production of sugar in India as sugar is one of the most important commodities; produced and consumed around the world. India is the 2nd largest producer of sugar in the world next to Brazil and also largest consumer of sugar. Time series data on sugar production and sugarcane area and production was collected from the year 1990-91 to 2015-16. Linear and non-linear models were used to identify the best model for forecasting of sugar production. Among all models selected the compound model was found to be best fit with highest R2, minimum root mean square error and standard error. The cubic and linear models were also showed significantly best fit for predicting the sugar production based on sugarcane area. The cubic model was found to be best fit with highest R2, minimum mean square error and standard error. Linear model was also found to be the best fit for predicting sugar production by sugarcane production.
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