Leaf rolling detection in maize under complex environments using an improved deep learning method.

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作者： Yuanhao,Wang ^[1] ; Xuebin,Jing ^[1] ; Yonggang,Gao ^[2] ; Xiaohong,Han ^[3] ; Cheng,Zhao ^[4] ; Weihua,Pan ^[5]

作者单位： College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China.;Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. ^[1] Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. ^[2] College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, China. hanxiaohong@tyut.edu.cn. ^[3] Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. zhaocheng0l@caas.cn. ^[4] Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. panweihua@caas.cn. ^[5]

关键词 Deep learning Leaf rolling Maize Object detection

主题词玉米(Zea mays);植物叶(Plant Leaves);环境(Environment)

DOI 10.1007/s11103-024-01491-4

PMID 39179745

发布时间 2024-10-14

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