An integrated AI framework for growth stage-aware corn leaf disease identification and environmental impact prediction
Corn's is one of the world's most important cereal crops, yet accurate identification of leaf diseases and stress symptoms under field conditions remains challenging because of complex backgrounds, variable illumination, and overlapping visual characteristics. This study proposes an integrated artificial intelligen...