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 was undertaken to analyse the growth rate in area and production of sugarcane in India. The study was based on secondary data from 1990-91 to 2014-15. The data was collected from different sources viz., Directorate of Economics and Statistics (DES) and website. To analyse the trend of area and production of sugarcane, Linear and Non-linear regression models were used. As a part of it six models were fitted to the area and production of sugarcane crop and the best models were selected based on highest co-efficient of determination (R2) which explained the variation in dependent variable by the independent variables, least mean square error and standard error. Results revealed that exponential model was showed significantly best fit for predicting in both area and production of sugarcane based on time period. The exponential model was found to be best fit with highest R2, least mean square error and standard error. Quadratic and cubic models were also found to be the best fit for predicting area and production of sugarcane.
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