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MRUNet:A two-stage segmentation model for small insect targets in complex environments

WANG Fu-kuan HUANG Yi-qi HUANG Zhao-cheng SHEN Hao HUANG Cong QIAO Xi QIAN Wan-qiang

农业科学学报：英文版2023，Vol.22Issue(4)：P.1117-1130,14.

农业科学学报：英文版2023，Vol.22Issue(4)：P.1117-1130,14.DOI:10.1016/j.jia.2022.09.004

MRUNet:A two-stage segmentation model for small insect targets in complex environments

WANG Fu-kuan ¹HUANG Yi-qi ²HUANG Zhao-cheng ³SHEN Hao ¹HUANG Cong ⁴QIAO Xi ¹QIAN Wan-qiang⁴

作者信息

1. 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.China
2. College of Mechanical Engineering,Guangxi University,Nanning 530004,P.R.China
3. Wuzhou Product Quality Inspection Institute,Wuzhou 543000,P.R.China
4. 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.China
折叠

摘要

关键词

insect larvae/deep learning/semantic segmentation/object detection

分类

农业科技

引用本文复制引用

WANG Fu-kuan,HUANG Yi-qi,HUANG Zhao-cheng,SHEN Hao,HUANG Cong,QIAO Xi,QIAN Wan-qiang..MRUNet:A two-stage segmentation model for small insect targets in complex environments[J].农业科学学报：英文版,2023,22(4):P.1117-1130,14.

基金项目

supported by the National Key Research and Development Program of China(2021YFD1400100,2021YFD1400101 and 2021YFD1400102) （2021YFD1400100,2021YFD1400101 and 2021YFD1400102）

the Guangxi Natural Science Foundation of China(2021JJA130221) （2021JJA130221）

the Shenzhen Science and Technology Program,China(KQTD20180411143628272)。（KQTD20180411143628272）

农业科学学报：英文版

OACSCDCSTPCD

ISSN：2095-3119

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