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 study has been undertaken to fit different trend equations like linear, non-linear and time series models for Maize and also made the future forecasts by 2021 AD. The study was carried out for Coimbatore district of Tamil Nadu state using time series data from 1990 to 2016. For forecasting purpose linear and non-linear growth models viz.,linear, logarithmic, inverse, quadratic, cubic, compound, power, s-curve, growth and exponential and time series models like ARIMA models were fitted to the area, production and productivity of Maize crop in Coimbatore and Coimbatore districts of Tamil Nadu. The best-fitted model for future projection was chosen based upon highest coefficient of determination (R2) and significant Adjusted R2 with least RMSE, MAE and MAPE values. The study revealed that cubic model was identified as the best model in Maize area, production and productivity in Coimbatore district of Tamil Nadu ARIMA (1, 1, 2) model was best fitted in Maize area in Coimbatore district of Tamil Nadu. But regarding production and productivity of Maize area in Coimbatore district, it was found that Cubic model was best fitted. It was also observed that in Coimbatore district of Tamil Nadu, maize showed decreasing trend by 2021 AD in area and production but productivity showed an increasing trend.
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