Hybrid deep learning with a fusion model of weather and soil-based multi-crop recommendations for improving crop sustainability

An innovative and cohesive framework, designed for reliable soil classification across various agro-ecological zones, effectively capturing spatial patterns for categorizing different soil types, and an explainable artificial intelligence approach to improve model transparency by obtaining explanations of predictions.