Climate change and groundwater overdraft impacts on agricultural drought in India: Vulnerability assessment, food security measures, and policy recommendation
The main objective of this study was to estimate the drought vulnerability in changing climate which eventually influences the food security of India. One of the major factors in agricultural drought susceptibility is groundwater overdraft. For evaluating the drought susceptibility and its influence on food security in India, a number of associated parameters have been chosen. MaxEnt (maximum entropy) and ANN (analytical neural network) have been considered in this perspective. The AUC values for the training datasets in the ANN and MaxEnt model are 0.891 and 0.921, respectively. The AUC values in ANN and MaxEnt model for the validation datasets are 0.876 and 0.904, respectively. MaxEnt model is most optimal than ANN considering predictive accuracy. It is evident from this study's analysis that the country's western, southern, and centre regions are most vulnerable to drought. Therefore, specific considerations in terms of regional planning must be made for sustainable planning.
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