Download Report IEEE DataPort : PADDY LEAF DISEASE DETECTION PROJECT REPORT. - 2026
PDF by Kamal Acharya
Information
Format: PDF Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/12/2026
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ISBN: 10.21227/xgeh-7321
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Description
As one of the main ten rice delivering and devouring nations on the planet, Indiarelies enormously upon rice for its economy and for fulfilling its food needs. Toguarantee solid what's more, legitimate development of the rice plants it isfundamental to distinguish any infection on schedule and before applyingexpected therapy to the influenced plants. Since manual recognition of sicknessescosts a huge measure of time and work, it is unavoidably reasonable to have amechanized framework. This project presents a rice leaf sickness discoveryframework utilizing AI draws near. Three of the most widely recognized riceplant infections specifically Bacterial Leaf Blight, Leaf Smut, Brown Spotinfections are identified in this work. Clear pictures of influenced rice leaves withwhite foundation were utilized as the info. After essential pre-handling, thedataset was prepared on with a scope of various AI calculations counting that ofCNN(Convolutional Neural Network), MobileNet V2. We have collecteddiseased leaf images from the kaggle. We have decide to use google colaboratoryfor implementation of the project.
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