{"title":"植物病害检测与分类技术综述","authors":"B. Gomathy, V. Nirmala","doi":"10.1109/ICACCE46606.2019.9080006","DOIUrl":null,"url":null,"abstract":"Agriculture is the backbone of India and it increases the economy of this country. Plant diseases detection plays a major role in agriculture. Quantity, quality or productivity is affected due to Plant diseases which are quite natural. Plant disease diagnosis is the most important activity for increasing the yield. The manual detection of Plant disease is time consuming due to lack of experts. Automatic methodologies using Image Processing methods will make the process easier. Delay in detection may destroy a big farm area. This paper presents the survey of different methods used in literature for disease diagnosis. From the analysis it's been reported in this paper that further improvements are required to diagnose diseases effectively.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Survey on Plant diseases detection and Classification Techniques\",\"authors\":\"B. Gomathy, V. Nirmala\",\"doi\":\"10.1109/ICACCE46606.2019.9080006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Agriculture is the backbone of India and it increases the economy of this country. Plant diseases detection plays a major role in agriculture. Quantity, quality or productivity is affected due to Plant diseases which are quite natural. Plant disease diagnosis is the most important activity for increasing the yield. The manual detection of Plant disease is time consuming due to lack of experts. Automatic methodologies using Image Processing methods will make the process easier. Delay in detection may destroy a big farm area. This paper presents the survey of different methods used in literature for disease diagnosis. From the analysis it's been reported in this paper that further improvements are required to diagnose diseases effectively.\",\"PeriodicalId\":317123,\"journal\":{\"name\":\"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACCE46606.2019.9080006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCE46606.2019.9080006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Survey on Plant diseases detection and Classification Techniques
Agriculture is the backbone of India and it increases the economy of this country. Plant diseases detection plays a major role in agriculture. Quantity, quality or productivity is affected due to Plant diseases which are quite natural. Plant disease diagnosis is the most important activity for increasing the yield. The manual detection of Plant disease is time consuming due to lack of experts. Automatic methodologies using Image Processing methods will make the process easier. Delay in detection may destroy a big farm area. This paper presents the survey of different methods used in literature for disease diagnosis. From the analysis it's been reported in this paper that further improvements are required to diagnose diseases effectively.