H. Krishnan, P. K., G. M, M. N, S. Vijayananth, P. Sudhakar
{"title":"Plant disease analysis using image processing in MATLAB","authors":"H. Krishnan, P. K., G. M, M. N, S. Vijayananth, P. Sudhakar","doi":"10.1109/ICSCAN.2019.8878753","DOIUrl":null,"url":null,"abstract":"Recognizable proof of plant ailment is troublesome in horticulture field. In the event that recognizable proof is mistaken, at that point there is an enormous misfortune on the generation of yield and efficient estimation of market. Leaf infection recognition requires tremendous sum of work, information in the plant sicknesses, and furthermore require the additionally preparing time. So we can utilize picture handling for recognizable proof of leaf infection in MATLAB. Recognizable proof of ailment pursues the means like stacking the picture, differentiate upgrade, changing over RGB to HSI, extricating of highlights and SVM.","PeriodicalId":363880,"journal":{"name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCAN.2019.8878753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Recognizable proof of plant ailment is troublesome in horticulture field. In the event that recognizable proof is mistaken, at that point there is an enormous misfortune on the generation of yield and efficient estimation of market. Leaf infection recognition requires tremendous sum of work, information in the plant sicknesses, and furthermore require the additionally preparing time. So we can utilize picture handling for recognizable proof of leaf infection in MATLAB. Recognizable proof of ailment pursues the means like stacking the picture, differentiate upgrade, changing over RGB to HSI, extricating of highlights and SVM.