Rida El Chall

Efficient and explainable attention-based multitask learning for fruit type, ripeness, and disease classification

Precision agriculture increasingly relies on automated crop monitoring to support disease prevention and harvest decisions. However, most existing systems treat fruit type, ripeness, and disease classification as separate tasks, leading to high computational costs in real-world deployments. This paper proposes an effic...