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@article{152139,
        author = {ADARSHA HEBBAR and JEEVAN JAGANNATH ACHARI and K ADITH HOLLA and Sourabh Mohan Revankar and NAGARAJA RAO},
        title = {PLANT DISEASE DIAGNOSIS USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {479-484},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152139},
        abstract = {Sustainable agriculture is a vital discipline in which now no longer tons interest is given aleven though it's miles notably necessary, so one can display the increase of vegetation for increase in maximum nutritious ways. However, the prevalence of sicknesses on plants should degrade the excellent and reduce the amount of yield. Therefore, in advance detection of plant disorder will assist stopping the plants from extreme contamination and heading off crop loss. Our idea makes use of an SVM algorithms to hit upon kind of sicknesses in order that we are able to hit upon signs at early level and required insecticides may be suggested, complete manner is embedded in android app the complete device being cost effective. The device is able to suggesting the right remedy for the disorder in real-time.},
        keywords = {Android App, Disease detection, Sustainable agriculture, SVM Algorithm.},
        month = {},
        }