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@article{161234,
        author = {Dr.J.Savitha and Manikandan N and Sajith Ramana D and Vasanth R},
        title = {Utilizing Machine Learning to find Plant Leaf Disease},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {3},
        pages = {1-7},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161234},
        abstract = {In contrast to the agricultural area, every other field has benefited from new technologies in some way. Studies from the past indicate that plant leaf diseases are the only reason of the 42% loss in agricultural production, which is increasing. By detecting a disease from the input photographs, our method for detecting plant leaf disease can solve our big issue. Feature extraction, picture segmentation, and image pre-processing were the processes in this procedure. The K Nearest Neighbor (KNN) classification is then applied to the outcomes of these three phases. The proposed implementation has a 98.56% prediction accuracy for plant leaf diseases. Additionally, it offers extra information regarding a leaf-affecting disease, such as the Affected Area, Disease Name, Total Accuracy, Sensitivity, and Elapsed},
        keywords = {Image Segmentation, Machine Learning, Plant Leaf Disease Detection},
        month = {},
        }