Utilizing Machine Learning to find Plant Leaf Disease

Dr.J.Savitha; Manikandan N; Sajith Ramana D; Vasanth R

Utilizing Machine Learning to find Plant Leaf Disease

Authors: Dr.J.Savitha, Manikandan N, Sajith Ramana D, Vasanth R

Unique Paper ID: 161234
Volume: 10
Issue: 3
PageNo: 1-7

Keywords: Image Segmentation Machine Learning Plant Leaf Disease Detection

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

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Cite This Article

ISSN: 2349-6002
Volume: 10
Issue: 3
PageNo: 1-7

Utilizing Machine Learning to find Plant Leaf Disease

Available:https://ijirt.org/Article?manuscript=161234

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