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  2. Volume 7, Issue 4
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Online ISSN: 2515-8260

Volume7, Issue4

Detection and Identification of Potato Plant Leaf Diseases using Convolution Neural Networks

    N. ANANTHI K. KUMARAN MADHUSHALINI. V GANESH MOORTHI. S HARISH. P

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 2753-2762

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Abstract

Crops suffering from various diseases can be a big turndown for crop yield. This can affect effective crop production, if left unnoticed. Hence, it is extremely important to examine the plant diseases in its initial stages so that felicitous actions can be taken by the farmers at the nick of time, to avoid further losses. It focuses on the method which is based on image processing way for identification of diseases of leaf in a plant .so let’s introduce a system which uses convolutional neural networks that helps farmers to identify any possible plant disease by loading a leaf image in to the system. The system consists of a collection of algorithms which identifies the type of disease with which the leaf is affected by a disease. Input image given by the user goes through many pre-processing steps to identify the disease and results are returned back to the user on a user interface.
Keywords:
    Image processing Leaf image Convolution Neural Network Image resizing
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(2020). Detection and Identification of Potato Plant Leaf Diseases using Convolution Neural Networks. European Journal of Molecular & Clinical Medicine, 7(4), 2753-2762.
N. ANANTHI; K. KUMARAN; MADHUSHALINI. V; GANESH MOORTHI. S; HARISH. P. "Detection and Identification of Potato Plant Leaf Diseases using Convolution Neural Networks". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 2753-2762.
(2020). 'Detection and Identification of Potato Plant Leaf Diseases using Convolution Neural Networks', European Journal of Molecular & Clinical Medicine, 7(4), pp. 2753-2762.
Detection and Identification of Potato Plant Leaf Diseases using Convolution Neural Networks. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 2753-2762.
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