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Plant Leaf Disease Detection with Solution using Machine Learning

Papal Suraj K., Majgaonkar Swedit S., Sonawane Dipak M., Sawant Atul R., Yadav Gitanjali B.

Abstract


Identification of plant leaf disease detection. Detection of disease and giving solution on disease. Nowadays mostly in air lots of disease are spread that disease affect the plant leaf and that leaf affects the glucose system. If the plant leaf has a disease than the fruit growth will decrease. The plant disease detection needs deep knowledge of disease and its solutions. We have use a Convolutional Neural Network with different layers to train our module and Android application as a user interface. The affected plant leaf disease will be captured and that captured image will compare with the pre-defined database or trained datasets. The comparison will show using the percentage if dataset match with captured image it shows the 100% or the 99%. The disease detection is analyzed; the final step the disease solution will be shown with the result. If the plant leaf is healthy it will show the plant leaf is healthy as an information message.


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References


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