Toll Free Helpline (India): 1800 1234 070

Rest of World: +91-9810852116

Free Publication Certificate

Vol. 10, Special Issue 10 (2021)

Assessment and forecasting of agricultural drought for the district of Tiruppur

Author(s):
Induja I, Nirmala Devi M, Radha M, Kokilavani S and Vanitha G
Abstract:
Drought is a key factor in agriculture, particularly in farming, as well as having a significant environmental impact. In this aspect, the focus of this research is on drought forecasting utilising the Adaptive Neuro-Fuzzy Inference System (ANFIS), a hybrid artificial neural network. The Tiruppur district's monthly precipitation data for the past 39 years was used in this study as this district is mostly dependent on the North-East Monsoon. SPI values are calculated on a three-month scale using monthly precipitation measurements. Secondly, different ANFIS forecasting models are created with their precursory period using the computed SPI value and mean precipitation value of the North-East Monsoon season. Furthermore, the RMSE, MAE, and coefficient of determination (R2) values were used to compare predicted values with actual values. The best fit model was defined as one with the lowest RMSE, MAE, and high R2 values.
Pages: 712-718  |  258 Views  54 Downloads
How to cite this article:
Induja I, Nirmala Devi M, Radha M, Kokilavani S and Vanitha G. Assessment and forecasting of agricultural drought for the district of Tiruppur. The Pharma Innovation Journal. 2021; 10(10S): 712-718.
Important Publications Links
The Pharma Innovation Journal

The Pharma Innovation Journal


Call for book chapter