Survey of Plant Disease Detection Using Image Classification Techniques

This paper presents an overview of various kinds of plant disease and different machine learning algorithms applied in farming fields for malady identifying. India positioning second in overall farm yields. As indicated by 2018, agribusiness section utilized more than 50% Indian manpower & contributed 18% to total national output. In India, cultivating is one of the significant sources of earning. Day by day increment of population results increment requirements and utilization of products of the soil. To meet the increase in demands the agriculture sector need a boost to increase the yield. In India agribusiness part is confronting serious issues because of deficiency of water, soil efficiency, common disaster, plant disease, bugs and so forth. Plant disease are a main consideration bringing about loss of yield. Early disease detection and effective adapted precautionary measures helps in keeping disease from spreading. Continuous observing of the plant by human expects can be costly for the farmers. Automated image recognition is done by utilizing distinctive AI algorithms for plant disease detection.

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