Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh
{"title":"Tri-Plant Leaf Disease for Bell Paper, Tomato and Potato Classification Using CNN","authors":"Shreyansh Shital Patil, Rahul B. Diwate, Anita Devkar, Ashutosh M. Kulkarni, Kishor Sadashiv Wagh","doi":"10.1109/ESCI53509.2022.9758249","DOIUrl":null,"url":null,"abstract":"India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.","PeriodicalId":436539,"journal":{"name":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Emerging Smart Computing and Informatics (ESCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESCI53509.2022.9758249","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
India is an agricultural country since olden times. Farming is the major occupation of the country with a variety of crops being grown throughout the country. Thus, factors such as diseases, pest's, other environmental factors can vastly affect the majority of people's livelihoods. Most of these diseases are easily detected through good knowledge of plants' leaves which if avoided on time can prevent heavy losses. This paper proposes a method to classify leaf diseases using the CNN model. Thus, in accord with to database provided leaf diseases can be classified. Every plant disease can be separately classified using the image of the leaf of a plant.