EARLY DETECTION OF LEAF DISEASE USING DEEP LEARNING
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Abstract
In India most of the rural population depends on agriculture. One of the problem in agriculture is leaf diseases. Due to leaf disease the yield of a crop is decreased and also affects the quality of fruits and vegetables. Identification of leaf disease plays an important role. By early detection of disease and providing right pesticides at proper time disease can be controlled easily. Nowadays in deep learning approach CNN is widely used for various computer vision tasks. In this paper we proposedsystemfordetectionofleafdiseaseandrecommendation ofthepesticidesusingCNN-AlexNetModel
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