Attention-enhanced YOLOv8n-CLS for lightweight and efficient tomato leaf disease classification
Introduction Tomato leaf diseases substantially reduce crop yield and fruit quality, creating a need for accurate, computationally efficient, and potentially deployable image-based disease-screening systems for precision agriculture. This study presents an Attention-Enhanced YOLOv8n-CLS framework for tomato leaf diseas...
Umesh Kumar Lilhore, J. Rexy, Kayal Padmanandam et al.
· Frontiers in Plant Science · 0 citations