MRUNet:A two-stage segmentation model for small insect targets in complex environmentsOA北大核心CSCDCSTPCD
Online automated identification of farmland pests is an important auxiliary means of pest control.In practical applications,the online insect identification system is often unable to locate and identify the target pest accura…查看全部>>
WANG Fu-kuan;HUANG Yi-qi;HUANG Zhao-cheng;SHEN Hao;HUANG Cong;QIAO Xi;QIAN Wan-qiang
College of Mechanical Engineering,Guangxi University,Nanning 530004,P.R.China Lingnan Guangdong Laboratory of 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,P.R.ChinaCollege of Mechanical Engineering,Guangxi University,Nanning 530004,P.R.ChinaWuzhou Product Quality Inspection Institute,Wuzhou 543000,P.R.ChinaCollege of Mechanical Engineering,Guangxi University,Nanning 530004,P.R.China Lingnan Guangdong Laboratory of 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,P.R.ChinaLingnan Guangdong Laboratory of 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,P.R.ChinaCollege of Mechanical Engineering,Guangxi University,Nanning 530004,P.R.China Lingnan Guangdong Laboratory of 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,P.R.ChinaLingnan Guangdong Laboratory of 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,P.R.China
植物保护学
insect larvaedeep learningsemantic segmentationobject detection
《农业科学学报：英文版》 2023 (4)
P.1117-1130,14
supported by the National Key Research and Development Program of China(2021YFD1400100,2021YFD1400101 and 2021YFD1400102)the Guangxi Natural Science Foundation of China(2021JJA130221)the Shenzhen Science and Technology Program,China(KQTD20180411143628272)。
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