N. Sirisha, Pasunoori Devi, P. Purushotham, D. SaiSri, Vemuri Laxmi
{"title":"Leaf Disease Identification and Remedy Recommendation System","authors":"N. Sirisha, Pasunoori Devi, P. Purushotham, D. SaiSri, Vemuri Laxmi","doi":"10.1109/ASSIC55218.2022.10088408","DOIUrl":null,"url":null,"abstract":"Agriculture is one field that has a big impact on people's lives and their economic situation. Poor management is the cause of agricultural losses. Farmers' lack of knowledge about disease leads to reduced yields. Farmer helpline call-centers are accessible, although they do not provide assistance 24 hours a day, seven days a week, and communication might be problematic at times. Farmers who are unable to effectively describe disease over the phone require an investigation of the afflicted leaf area. Since photographs and videos of crops provide a better view of the crop and agricultural scientists can provide a better way to fix difficulties related to healthy crop, farmers have not been informed. Because to advancements in technology, equipment are now capable of recognizing and detecting plant illnesses. Recognizing disease early on can help to speed up treatment and reduce the impact on harvest. As a result, the focus of this research is on employing image processing to identify plant diseases.","PeriodicalId":441406,"journal":{"name":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASSIC55218.2022.10088408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Agriculture is one field that has a big impact on people's lives and their economic situation. Poor management is the cause of agricultural losses. Farmers' lack of knowledge about disease leads to reduced yields. Farmer helpline call-centers are accessible, although they do not provide assistance 24 hours a day, seven days a week, and communication might be problematic at times. Farmers who are unable to effectively describe disease over the phone require an investigation of the afflicted leaf area. Since photographs and videos of crops provide a better view of the crop and agricultural scientists can provide a better way to fix difficulties related to healthy crop, farmers have not been informed. Because to advancements in technology, equipment are now capable of recognizing and detecting plant illnesses. Recognizing disease early on can help to speed up treatment and reduce the impact on harvest. As a result, the focus of this research is on employing image processing to identify plant diseases.