WH-DETR: An Efficient Network Architecture for Wheat Spike Detection in Complex Backgrounds by Zhenlin Yang, Wanhong Yang, Jizheng Yi, Rong Liu

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Improving multi-scale detection layers in the deep learning network for wheat spike detection based on interpretive analysis by Jiawei Yan, Jianqing Zhao, Yucheng Cai, Suwan Wang, Xiaolei Qiu, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaohu Zhang

Subjects: “…Wheat spike detection…”
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A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5 by Jianqing Zhao, Xiaohu Zhang, Jiawei Yan, Xiaolei Qiu, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao

Subjects: “…wheat spike detection…”
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A wheat spike detection method based on Transformer by Qiong Zhou, Qiong Zhou, Qiong Zhou, Ziliang Huang, Ziliang Huang, Shijian Zheng, Shijian Zheng, Lin Jiao, Lin Jiao, Liusan Wang, Rujing Wang, Rujing Wang

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CropQuant-Air: an AI-powered system to enable phenotypic analysis of yield- and performance-related traits using wheat canopy imagery collected by low-cost drones by Jiawei Chen, Jiawei Chen, Jie Zhou, Jie Zhou, Qing Li, Hanghang Li, Yunpeng Xia, Robert Jackson, Gang Sun, Guodong Zhou, Greg Deakin, Dong Jiang, Ji Zhou, Ji Zhou

Subjects: “…wheat spike detection…”
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