Plant Leaf Disease Detection Using Machine Learning

DOI

No DOI

Published In

Volume 3, Issue 3 (2022)

Published Online

May-June 2022

Pages

283-285

Article Type

Research Article

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Abstract: Indian Economy mainly depends on Agricultural productivity. This is the one of the motives that disease detection in plants plays an vital role in agriculture field, as having disease in plants are quite usual. If proper care is not taken in this area then it causes serious effects on plants and due to which particular product quality, quantity or productivity is affected. For instance a disease named little leaf disease is a harmful disease found in pine trees in United States. Detection of plant disease through some involuntary technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself it detects the symptoms of diseases i.e. when they appear on plant leaves. According to past studies, 42% of agriculture production is in loss and that too only because of the increasing rate of loss due to plant leaf disease detection technique can be applied to identify a disease from the input pictures. We have proposed the machine learning based approach for image recognition. The use of convolutional neural network in the problem of plant disease detection has very good results. CNN is recognized as the best method for image recognition.