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Viewed by 961 Summary The positioning of the best bud from the topping equipment in the cotton topping operation relies on the recognition algorithm. The detection success of the traditional focus on detection algorithm comprise plenty of ineffective facts, which is not conducive towards the positioning of [...] Browse more. The positioning of the best bud through the topping machine from the cotton topping operation relies on the recognition algorithm. The detection benefits of the traditional focus on detection algorithm comprise a great deal of useless facts, which is not conducive to your positioning of the very best bud. So that you can get a far more productive recognition algorithm, we propose a major bud segmentation algorithm CBLN-YOLO determined by the YOLO11n-seg model. To begin with, the standard convolution and multihead self-consideration (MHSA) mechanisms in YOLO11n-seg are changed by linear deformable convolution (LDConv) and coordinate consideration (CA) mechanisms to lessen the parameter advancement amount of the first model and improved mine comprehensive functions of the very best buds.
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