Abstract
Climate change-induced drought and environmental stresses challenge maize production. Artificial intelligence (AI) and big data show great potential in maize breeding for drought resistance. Intelligent breeding platforms using multi-source data and deep learning improve drought resistance prediction models and uncover gene-environment relationships. Explainable AI reveals the biological mechanisms behind drought resistance, aiding breeding decisions. Technologies like drones, multispectral imaging, and LiDAR enable high-resolution phenotypic data collection for water use efficiency and genotype screening. Regional breeding databases support genotype selection and climate adaptability simulations. Integrating gene editing with precision breeding further enhances drought resistance, supporting sustainable global agriculture.
