Satish R. Jondhale

Multi-Crop Leaf Disease Detection using YOLOv12 with Class-Aware Multi-Scale Fusion and Adaptive Attention Modules

Experimental results show that YOLOv12-CropNet finds a suitable balance between computational speed and accurate detection, and accuracy, F1-score, recall, and precision are important performance metrics that verify the model's resilience in challenging environmental and visual circumstances.