2023, Vol. 8, Issue 4, Part B

India's largest agricultural export is groundnut, which is a significant source of oilseeds. By giving the expanding population access to inexpensive food goods and job opportunities, it might accelerate the country's economic growth. In this study, nonlinear growth models such the Monomolecular, Logistic, Gompertz, Richards, and Weibull are examined. Non-linear equations may be solved iteratively using a number of techniques, and parameters can be approximated using the least-squares approach. The parameters of these models were evaluated using the RStudio programme with the Levenberg-Marquardt approach being one of the most important. To select the best-fitted model, a number of goodness of fit metrics were utilised, such as R2, MAE, MSE, and RMSE. Nonlinear models such as the monomolecular, logistic, gompertz, Richards, and weibull models were used to examine groundnut data of India. The goodness of fit criteria was used to choose the non-linear model that best suited the data series. It has been determined that the most appropriate models for the area, production, and productivity of groundnut are the Gompertz, Weibull, and Logistic models.