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Semi-automated identification of biological control agent using artificial intelligence

文献类型：期刊论文

作者Liao, Jhih-Rong2; Lee, Hsiao-Chin2; Chiu, Ming-Chih1; Ko, Chiun-Cheng2
刊名SCIENTIFIC REPORTS
出版日期2020-09-03
卷号10期号:1页码:9
ISSN号2045-2322
DOI10.1038/s41598-020-71798-x
通讯作者Chiu, Ming-Chih(mingchih.chiu@gmail.com) ; Ko, Chiun-Cheng(kocc2501@ntu.edu.tw)
英文摘要The accurate identification of biological control agents is necessary for monitoring and preventing contamination in integrated pest management (IPM); however, this is difficult for non-taxonomists to achieve in the field. Many machine learning techniques have been developed for multiple applications (e.g., identification of biological organisms). Some phytoseiids are biological control agents for small pests, such as Neoseiulus barkeri Hughes. To identify a precise biological control agent, a boosting machine learning classification, namely eXtreme Gradient Boosting (XGBoost), was introduced in this study for the semi-automated identification of phytoseiid mites. XGBoost analyses were based on 22 quantitative morphological features among 512 specimens of N. barkeri and related phytoseiid species. These features were extracted manually from photomicrograph of mites and included dorsal and ventrianal shield lengths, setal lengths, and length and width of spermatheca. The results revealed 100% accuracy rating, and seta j4 achieved significant discrimination among specimens. The present study provides a path through which skills and experiences can be transferred between experts and non-experts. This can serve as a foundation for future studies on the automated identification of biological control agents for IPM.
WOS关键词AMBLYSEIUS-BARKERI ACARINA ; INTRASPECIFIC VARIATIONS ; SETAL PATTERNS ; DORSAL SHIELD ; MITES ACARI ; PHYTOSEIIDAE ; HUGHES ; THYSANOPTERA ; IMAGE
资助项目Chinese Academy of Sciences (CAS Taiwan Young Talent Programme)[2017TW2SA0004] ; Ministry of Science and Technology, Taiwan[MOST105-2621-B-002-002-MY3] ; Ministry of Science and Technology, Taiwan[MOST108-2621-B-002-005-MY3]
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000571229700124
出版者NATURE RESEARCH
资助机构Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Chinese Academy of Sciences (CAS Taiwan Young Talent Programme) ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan ; Ministry of Science and Technology, Taiwan
源URL[http://ir.ihb.ac.cn/handle/342005/38853]  
专题水生生物研究所_其他_期刊论文
通讯作者Chiu, Ming-Chih; Ko, Chiun-Cheng
作者单位1.Chinese Acad Sci, Inst Hydrobiol, Wuhan 430072, Peoples R China
2.Natl Taiwan Univ, Dept Entomol, Taipei 10617, Taiwan
推荐引用方式
GB/T 7714		 Liao, Jhih-Rong,Lee, Hsiao-Chin,Chiu, Ming-Chih,et al. Semi-automated identification of biological control agent using artificial intelligence[J]. SCIENTIFIC REPORTS,2020,10(1):9.
APA Liao, Jhih-Rong,Lee, Hsiao-Chin,Chiu, Ming-Chih,&Ko, Chiun-Cheng.(2020).Semi-automated identification of biological control agent using artificial intelligence.SCIENTIFIC REPORTS,10(1),9.
MLA Liao, Jhih-Rong,et al."Semi-automated identification of biological control agent using artificial intelligence".SCIENTIFIC REPORTS 10.1(2020):9.

入库方式： OAI收割

来源：水生生物研究所

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