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期刊名称

artificial intelligence in agriculture(1)

关键词

hybrid attention mechanism(1)
phenotypic characteristics(1)
root nodules(1)
small object detection(1)
yolov8s(1)

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作者

Ya Zhao AND Wen Zhang AND Liangxiao Zhang AND Xiaoqian Tang AND Du Wang AND Qi Zhang AND Peiwu Li(0)

机构

hubei hongshan laboratory, institute of food safety, hubei university, wuhan 430062, china(1)
key laboratory of detection for mycotoxins, ministry of agriculture and rural affairs, oil crops research institute, chinese academy of agricult(1)
key laboratory of detection for mycotoxins, ministry of agriculture and rural affairs, oil crops research institute, chinese academy of agricultural sciences, wuhan 430061, china(1)
xianghu laboratory, hangzhou 311231, china(1)

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年份

2025(1)

科研产出

条件:

资源类型: 外文期刊

作者:Ya Zhao(精确检索)

作者:Wen Zhang(精确检索)

作者:Liangxiao Zhang(精确检索)

作者:Xiaoqian Tang(精确检索)

作者:Du Wang(精确检索)

作者:Qi Zhang(精确检索)

作者:Peiwu Li(精确检索)

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1Development of an enhanced hybrid attention YOLOv8s small object detection method for phenotypic analysis of root nodules

作者： Ya Zhao; Wen Zhang; Liangxiao Zhang; Xiaoqian Tang; Du Wang; Qi Zhang; Peiwu Li; SCIE（2025版） EI（2025版） CSCD（2025-2026年度）农林核心（2024版）

机构： Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan 430061, China; Xianghu Laboratory, Hangzhou 311231, China; Hubei Hongshan Laboratory, Institute of Food Safety, Hubei University, Wuhan 430062, China; Key Laboratory of Detection for Mycotoxins, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute, Chinese Academy of Agricult;

来源：Artificial Intelligence in Agriculture

关键词： Hybrid attention mechanism Phenotypic characteristics Root nodules Small object detection YOLOv8s