{"title":"基于计算机视觉的大豆叶片颜色分析","authors":"Junlong Fang, Lili Ma, Yuehua Chen","doi":"10.1109/WCSE.2010.132","DOIUrl":null,"url":null,"abstract":"In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development, application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS, it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.","PeriodicalId":376358,"journal":{"name":"2010 Second World Congress on Software Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Color Analysis of Soybean Leaves Based on Computer Vision\",\"authors\":\"Junlong Fang, Lili Ma, Yuehua Chen\",\"doi\":\"10.1109/WCSE.2010.132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development, application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS, it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.\",\"PeriodicalId\":376358,\"journal\":{\"name\":\"2010 Second World Congress on Software Engineering\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second World Congress on Software Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCSE.2010.132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second World Congress on Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSE.2010.132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Color Analysis of Soybean Leaves Based on Computer Vision
In this paper we collected the leaves of soybean at the different stages and different nitrogen. this paper studied the leaf images of the six stages of soybean growth, which nitrogen fertilizer applied were 0%,50%,100% and 150%.The current state of development, application and research of the image processing technology are analyzed in this thesis. The color characters of soybean leaves were analyzed using the RGB and the HSI model. Get mean value of RGB and HIS, it will provide a technical basis for the diagnosis of deficiencies and excess of nitrogen for soybean leaves.
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