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The result showed that five models (MMLPNN, SGAM, Cforest, BGAM and SG are capable of delivering a high prediction accuracy for land susceptibility to wind erosion hazard. DEM, precipitation, and vegetation (NDVI) are the most critical factors controlling wind erosion in the study area. Overall, regression-based machine learning models are efficient techniques for mapping land susceptibility to wind erosion hazards.Sheep farming has been fundamental to many civilizations in the world and is practiced in India since antiquity. Several t
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