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Plant Leaves Disease Detection System Using Machine Learning
Author(s) -
Shailesh Kurzadkar,
Achal Meshram,
Aman Barve,
Kajal Dhargave,
Mruganayani Alone,
Vijaya Bhongale
Publication year - 2022
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2022.v11i02.004
Subject(s) - plant disease , disease , machine learning , computer science , artificial intelligence , biology , microbiology and biotechnology , medicine , pathology
Plants and crops are one of the major human needs in day to day life. And detection of plant disease is also essential through some automatic disease detection technique. It will reduce a lot of work of monitoring crops in big farms and at early stage disease gets detected through the symptoms on leaves. The earlier disease detection may lead to longer survival of crops and plants. Data sets will be created for identifying diseased and healthy plants. The created datasets of diseased and healthy leaves will be trained to classify both types of images collectively. Overall using machine learning to train the large data sets available publicly gives us a clear way to detect the disease present in plants in a colossal scale.

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