Abid Hayat

Deep Learning for In-Field Occlusion Handling and Real-Time Fruit Detection Under Dense Canopy Conditions

This review synthesises recent deep learning-based detection systems, with particular focus on occlusion mitigation through multi-stage perception pipelines, and consolidates current knowledge and highlights directions toward reliable autonomous harvesting in complex agricultural environments.