{"title":"android环境下OpenCV框架对番茄、葡萄侵染植株的检测、分类及防治建议","authors":"A. Hase, Priyanka S. Aher, Sudeep K. Hase","doi":"10.1109/I2CT.2017.8226270","DOIUrl":null,"url":null,"abstract":"Plant disease precipitates the noteworthy drop in superiority and quantity of farming harvest. Revealing leaf disease has become vital research issue in this era. It exhibit reimbursement in monitoring huge grassland of crops. Human eye perception is not so much stronger to observe variation in the infected part of leaf. Diagnosing disease in an accurate and timely way is the important task. To identify the cause and solution for disease we have introduced an android application. Our system works on the plants that are infected by diseases like fungi, viruses which detects and classify it by using image processing technique.","PeriodicalId":343232,"journal":{"name":"2017 2nd International Conference for Convergence in Technology (I2CT)","volume":"795 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment\",\"authors\":\"A. Hase, Priyanka S. Aher, Sudeep K. Hase\",\"doi\":\"10.1109/I2CT.2017.8226270\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Plant disease precipitates the noteworthy drop in superiority and quantity of farming harvest. Revealing leaf disease has become vital research issue in this era. It exhibit reimbursement in monitoring huge grassland of crops. Human eye perception is not so much stronger to observe variation in the infected part of leaf. Diagnosing disease in an accurate and timely way is the important task. To identify the cause and solution for disease we have introduced an android application. Our system works on the plants that are infected by diseases like fungi, viruses which detects and classify it by using image processing technique.\",\"PeriodicalId\":343232,\"journal\":{\"name\":\"2017 2nd International Conference for Convergence in Technology (I2CT)\",\"volume\":\"795 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 2nd International Conference for Convergence in Technology (I2CT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I2CT.2017.8226270\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 2nd International Conference for Convergence in Technology (I2CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I2CT.2017.8226270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment
Plant disease precipitates the noteworthy drop in superiority and quantity of farming harvest. Revealing leaf disease has become vital research issue in this era. It exhibit reimbursement in monitoring huge grassland of crops. Human eye perception is not so much stronger to observe variation in the infected part of leaf. Diagnosing disease in an accurate and timely way is the important task. To identify the cause and solution for disease we have introduced an android application. Our system works on the plants that are infected by diseases like fungi, viruses which detects and classify it by using image processing technique.