Advanced machine learning techniques have deciphered the complex genetic basis underlying sorghum’s resistance to grain mold, a significant fungal threat to this key cereal crop. This integrative approach identifies novel resistance loci and gene patterns, facilitating precision breeding strategies to enhance crop resilience and food security. The findings underscore the power of AI-driven analyses to tackle intricate plant-pathogen interactions in agriculture biotechnology.