drought effects evaluation; local climate improve adaptation; sustainable agriculture; drinking water resource administration; meals stability coverage; technological innovations in agriculture; socioeconomic impacts of drought; drought-resistant crops; Intercontinental food assist; agricultural resilience (This Unique concern belongs towards the Portion Farming Sustainability) Sustainable Administration and Tillage Observe in Agriculture—2nd Edition edited by
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Considered by 961 Summary The positioning of the top bud from the topping equipment from the cotton topping operation is determined by the recognition algorithm. The detection effects of the standard goal detection algorithm contain loads of ineffective details, which isn't conducive to your positioning of [...] Study far more. The positioning of the best bud from the topping device from the cotton topping operation depends upon the recognition algorithm. The detection benefits of the standard focus on detection algorithm consist of many ineffective data, which is not conducive towards the positioning of the top bud. In order to attain a far more effective recognition algorithm, we propose a top bud segmentation algorithm CBLN-YOLO dependant on the YOLO11n-seg product. To start with, the normal convolution and multihead self-interest (MHSA) mechanisms in YOLO11n-seg are changed by linear deformable convolution (LDConv) and coordinate awareness (CA) mechanisms to reduce the parameter advancement amount of the initial model and far better mine in depth attributes of the best buds.
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Interests: local weather-resilient agriculture; foods safety; sustainable agriculture; agrobiodiversity; agricultural sustainability; indigenous and local information (ILK); wild crops