Vol. 6, Issue 5 (2018)
Comparison of nonlinear statistical growth models for describing rice (Oryza sativa) production in Gujarat
Author(s): Raj C Popat, KB Banakara, Dr. YA Garde and Dr. BK Bhatt
Abstract: Rice is staple food of India. In Gujarat it is grown on large scale in South and Middle regions. Keeping in view the importance of rice crop, the present research deals with critical study of rice production of Gujarat using nonlinear statistical models and instability index analysis. Different nonlinear growth models viz. Monomolecular, Logistic, Gompertz and Richards model have been applied on rice production data considering the period 1980-81 to 2009-10. The validation of the best fitted models were carried out using data from 2010-11 to 2015-16. The parameters of these models were estimated using Levenberg-Marquardt’s method. Model diagnostics of residuals of fitted models were carried out using run test and Shapiro-Wilk test. Validation of fitted models were carried out using different goodness of fit statistic like R2, RMSE, MAE and MSE. The study found that Richards model described variation in production of rice crop. The research revealed that growth rate for production was found 5 per cent. The values of CDI for production of rice were 20.92 which revealed that rice production had medium instability in Gujarat.
Pages: 1545-1549 | 343 Views 49 Downloads
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How to cite this article:
Raj C Popat, KB Banakara, Dr. YA Garde, Dr. BK Bhatt. Comparison of nonlinear statistical growth models for describing rice (Oryza sativa) production in Gujarat. Int J Chem Stud 2018;6(5):1545-1549.
