{"title":"利用翅脉形状自动识别寄生蜂种类","authors":"Yusuke Misaki, K. Terada","doi":"10.1117/12.2589061","DOIUrl":null,"url":null,"abstract":"Accurate species identification of parasitic bees is needed for studies of bio-pesticide use and habitat investigation. Therefore, we use differences in the shape of the wing veins between parasitic bee species. In this paper, we build a system that can automatically recognize species based on the extracted features from wing vein images.","PeriodicalId":295011,"journal":{"name":"International Conference on Quality Control by Artificial Vision","volume":"02 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic recognition of parasitic bee species using wing vein shape\",\"authors\":\"Yusuke Misaki, K. Terada\",\"doi\":\"10.1117/12.2589061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate species identification of parasitic bees is needed for studies of bio-pesticide use and habitat investigation. Therefore, we use differences in the shape of the wing veins between parasitic bee species. In this paper, we build a system that can automatically recognize species based on the extracted features from wing vein images.\",\"PeriodicalId\":295011,\"journal\":{\"name\":\"International Conference on Quality Control by Artificial Vision\",\"volume\":\"02 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Quality Control by Artificial Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2589061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Quality Control by Artificial Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2589061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic recognition of parasitic bee species using wing vein shape
Accurate species identification of parasitic bees is needed for studies of bio-pesticide use and habitat investigation. Therefore, we use differences in the shape of the wing veins between parasitic bee species. In this paper, we build a system that can automatically recognize species based on the extracted features from wing vein images.
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