Arup Kr. Saha

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

Robotic fruit harvesting in dense canopies remains challenging due to occlusion, variable illumination, and fruit-foliage similarity. This review synthesises recent deep learning-based detection systems, with particular focus on occlusion mitigation through multi-stage perception pipelines. The literature reveals that...