In order to comprehend long-term patterns and the impact of climatic variables, this study used linear time-series modeling approaches to analyze Kerala's cropping intensity over a 58-year period (1965–66 to 2022–23). The dependent variable was cropping intensity, and the exogeno...
Open access
Research Article10.9734/jsrr/2025/v31i113652
The present study aimed at fitting forecasting models to Gross Cropped Area of Kerala State in India using data from 1965-66 to 2022-23. It focused on sole models such as Auto Regressive Integrated Moving Average (ARIMA) and Support Vector Regression (SVR). A hybrid model using c...
Open access
Research Article10.9734/jeai/2025/v47i53447
A state like Kerala in Indian subcontinent, even though, blessed with the typical physiographical features contributing to its agricultural diversity, has an average cropping intensity of 132 percentages which shows the huge gap between its potential and actual production. A mult...
Open access
Research Article10.9734/jsrr/2025/v31i22836