Multi-scale attention-based feature learning for jujube fruit bruise detection and variety classification
Automated fruit classification plays a central role in post-harvest quality assessment, particularly in reducing dependence on manual inspection within smart agriculture systems. In this work, a deep learning framework, MSA-TNet, is introduced to address jujube fruit classification across two related tasks, binary br...