AI RESEARCH
COTONET: A custom cotton detection algorithm based on YOLO11 for stage of growth cotton boll detection
arXiv CS.CV
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ArXi:2603.11717v1 Announce Type: new Cotton harvesting is a critical phase where cotton capsules are physically manipulated and can lead to fibre degradation. To maintain the highest quality, harvesting methods must emulate delicate manual grasping, to preserve cotton's intrinsic properties. Automating this process requires systems capable of recognising cotton capsules across various phenological stages. To address this challenge, we propose COTONET, an enhanced custom YOLO11 model tailored with attention mechanisms to improve the detection of difficult instances.