An Explainable Hybrid Attention Based TabNet–BiLSTM Framework for Intelligent Soil Data-Driven Crop and Fertilizer Recommendation
Accurate crop selection and fertilizer recommendation based on soil laboratory data analysis are essential for sustainable agriculture and precision nutrient management. Most existing crop recommendation systems lean on standalone machine learning or deep learning architectures that constrain their ability to model spa...