Abstract
AbstractPlant disease diagnosis is critical for reducing crop losses, and increasing agricultural growth. This research paper discussed methods used to diagnose plant diseases using leaf pictures and discussed specific classifications and the algorithms to extract a factor used in the diagnosis of plant disease. Then, plant specific diseases plays an essential role in the agricultural sectors, because plant-borne diseases are quite nature. If proper care is not taken in plant disease, it causes adverse effects on the plants and consequently affects the quality of product, quantity or product. Plant diseases cause’s outbreaks that results in production loss, and this problem need to be addressed in the first phase, saving lives and money. Detection of diseases in plants is critical research area, which shows benefits in monitoring large plant fields. Farm owners, and caregivers of plants (say, kindergarten) can benefits greatly from early detection of diseases, to prevent the bad from reaching their plants and to inform the person what needs to be done in advance for the similar to work properly, to prevent the worse.KeywordsClassificationFeature extraction processImage processing applicationPlant diseaseSymptom
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