{"title":"Cassava Leaf Disease Detection Using Deep Learning","authors":"Manick, J. Srivastava","doi":"10.1109/iemtronics55184.2022.9795751","DOIUrl":null,"url":null,"abstract":"In this study, a clever plan to detect cassava leaves has been developed using a customized fine-tuned deep learning model. Five categories of diseases are used in this study: Cassava Brown Steak Disease (CBSD), Cassava Green Mite (CGM), Cassava Bacterial Blight (CBB), and Cassava Mosaic Disease (CMD) and Health. The results showed an accuracy on the test data obtained was over 77% on original problem using clever data augmentation without affecting the scope of this problem.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iemtronics55184.2022.9795751","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, a clever plan to detect cassava leaves has been developed using a customized fine-tuned deep learning model. Five categories of diseases are used in this study: Cassava Brown Steak Disease (CBSD), Cassava Green Mite (CGM), Cassava Bacterial Blight (CBB), and Cassava Mosaic Disease (CMD) and Health. The results showed an accuracy on the test data obtained was over 77% on original problem using clever data augmentation without affecting the scope of this problem.
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