G. Pole

An intelligent computer vision-based deep learning framework for automated detection, localization, and classification of fruit diseases in precision agriculture systems

The DL-FDD framework establishes a new performance benchmark for automated fruit disease detection, providing a scalable, interpretable, and computationally efficient solution suitable for real-world precision agriculture deployment.