Efficient deep learning architecture for the classification of diseased plant leaves
Muniyandi Sadhasivam,
Manoharan Kalaiselvi Geetha,
James Gladson Maria Britto
Abstract:<span>The classification of plant leaf diseases via machine learning and deep learning algorithms has a great deal of potential for enhancing agricultural operations by allowing the early and accurate diagnosis of diseases. These systems can potentially develop into useful instruments for environmentally responsible farming and increased food safety as technological advancements continue. In this work, an efficient deep learning architecture has been developed to classify the diseased plant leaves. A ten… Show more
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