Prediction of agricultural drought index in a hot and dry climate using advanced hybrid machine learning
Drought monitoring and forecasting are essential for efficient water resources management. The present research aims to provide a reliable prediction of the effective Reconnaissance Drought Index (eRDI) based on seven evaporation stations in the southern Baluchestan sub-basin of Iran. To achieve thi...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-05-01
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Series: | Ain Shams Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924000613 |