Vol. 8, Issue 3 (2020)
A statistical modeling approach of area, production and productivity of maize crop in Dindigul district
Author(s): Dr. B Sivasankari, Dr. R Vasanthi and Dr. M Kalpana
Abstract: The present study has been undertaken to identify the best Linear and Non-Linear growth models, time series models like ARIMA to predict the future forecasts (up to 2021 A.D) in area, production and productivity of Maize during the study period from 1990-91 to 2016-17. The best fitted model was chosen based on model selection criteria like highest coefficient of determination (R2), Adjusted R2 and with least MAPE, RMSE and MAE values for the purpose of future forecasts up to 2021 A.D. The time series data pertaining to area, production and productivity of Maize in Dindigul district of Tamil Nadu were collected from Seasonal crop report of Tamil Nadu and Ministry of Agriculture, Govt. of India, www.indiastat.com for the period of 27 years i.e., from 1990 to 2016.The analysis of area, production and productivity of Maize in Dindigul district of Tamil Nadu revealed the following features over a period of time. It is observed that the average area, production and productivity under maize in Dindigul district of Tamil Nadu during the study period were 27128 thousand hectares, 97686 thousand tonnes and 3417 kg/ ha respectively. The future forecasts by cubic model were indicated that there would be substantial decreasing in area and production and increasing trend in productivity in the future. It was observed that the forecasted area by 2021 AD would be 6706.26 hectares hectares. The forecasted production and productivity would be 125781.96 tonnes and 9838.36 kg /ha respectively by 2021 AD.
DOI: 10.22271/chemi.2020.v8.i3i.9288
Pages: 718-721 | 819 Views 274 Downloads
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How to cite this article:
Dr. B Sivasankari, Dr. R Vasanthi, Dr. M Kalpana. A statistical modeling approach of area, production and productivity of maize crop in Dindigul district. Int J Chem Stud 2020;8(3):718-721. DOI: 10.22271/chemi.2020.v8.i3i.9288