International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

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Call for Paper Volume 17 Issue 3 July-September 2026 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.
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Volume 17 Issue 3
July-September 2026

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Sugarcane Leaf Disease Detection and Classification Using Deep Learning

Author(s) Ms. Nisarga S C, Prof. Yashaswini J
Country India
Abstract YOLOv11 was employed to detect and classify sugarcane leaf diseases. A dataset of sugarcane leaf images, encompassing healthy leaves and various disease classes (e.g., red rot, rust, mosaic, yellow leaf disease), was collected and annotated with bounding boxes indicating disease-affected regions.
Keywords Sugarcane Leaf Disease Detection, Deep Learning, YOLOv10, MobileNetV2, Disease Classification, Object Detection, Computer Vision, Tensor Flow, Smart Farming.
Field Computer > Data / Information
Published In Volume 17, Issue 3, July-September 2026
Published On 2026-07-29
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Crossref DOI prefix of IJSAT is 10.71097/IJSAT

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