A. Nabout, R. Gerhards, B. Su, H. A. Nour Eldin, W. Kuhbauch
{"title":"Plant species identification using fuzzy set theory","authors":"A. Nabout, R. Gerhards, B. Su, H. A. Nour Eldin, W. Kuhbauch","doi":"10.1109/IAI.1994.336686","DOIUrl":null,"url":null,"abstract":"The automatic identification of plant species is a great challenge because their patterns are complex and uncertain. In this paper, the fuzzy set theory was applied to identify weed species. A membership function was established. The experiment has shown, that the average rate of correct identification has improved from 67% to greater than 82%.<<ETX>>","PeriodicalId":438137,"journal":{"name":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1994.336686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
The automatic identification of plant species is a great challenge because their patterns are complex and uncertain. In this paper, the fuzzy set theory was applied to identify weed species. A membership function was established. The experiment has shown, that the average rate of correct identification has improved from 67% to greater than 82%.<>
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