IEEE

A Multimodal Deep Learning End-to-End Model for Improving Barley Genotype-to-Phenotype Prediction Using Heterogeneous Data

Abstract: Artificial Intelligence (AI) has emerged as a transformative tool in precision agriculture, facilitating datadriven decision-making and crop improvement. In the context of agricultural crops ...
IEEE

A Coupled Cellular Automata-Deep Learning-XGBoost for Land Use and Land Cover Change Prediction in Yancheng

Abstract: Accurate simulation of land use and land cover change (LUCC) is essential for understanding urban expansion and ecosystem evolution. However, existing models struggle to simultaneously ...