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Vol. 11, Issue 3 (2022)

Statistical analysis of area and production of groundnut & sunflower oil seed crops in Tamil Nadu: A non-linear model approach

Author(s):
R Vasanthi and V Karthick
Abstract:
This study aim to identify the best model for area & production of Oil seed crops in Tamil Nadu. A secondary data was collected over a period from 1990 to 2017 (27 years). The main Oilseed crops considered for the study are Ground nut and Sunflower. There are four nonlinear models such as Exponential, Logistic Sinusoidal, and Hoerl models are used. The best model is selected based on R2, RMSE and MAE values. According to area of Ground nut and Sunflower, Hoerl model is found to be the best since it has highest R2(76%), Lowest Root Mean Square Error (55990.44) for Groundnut and highest R2(78%), Lowest Root Mean Square Error (9418.802) for Sunflower. According to Production, Sinusoidal model is found to be the best for both Groundnut and Sunflower oilseed crops based on R2 and RMSE value. Hence, Hoerl & Sinusoidal model is the most suitable fitted model for Area & production of Ground nut and Sunflower crops in Tamil Nadu respectively.
Pages: 2119-2121  |  271 Views  101 Downloads


The Pharma Innovation Journal
How to cite this article:
R Vasanthi, V Karthick. Statistical analysis of area and production of groundnut & sunflower oil seed crops in Tamil Nadu: A non-linear model approach. Pharma Innovation 2022;11(3):2119-2121.

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