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Journal of Electrical Engineering and Computer Science (JEECS)

Harvest Disease Detection utilizing Deep Convolutional Neural Networks

By, Journal ID: JEECS-01-10-2019-111
(This article belongs to Vol - 01, Issue - 02)
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The thought spotlights on giving the data in regards to the pesticide suggestion and the measure of pesticide to be utilized for an undesirable harvest. The client, who is the Farmer clicks an image of the harvest and transfers it to the server by utilizing the android application introduced in portable or by utilizing website page. Subsequent to transferring the picture the rancher taps the Predict catch which is shown on screen. At that point transferred picture is handled and appropriately the highlights of that picture are removed. In view of those highlights the characterization of picture is finished utilizing Convolutional neural system and the classes having greatest likelihood is chosen. At that point the outcome comprising of the illness name is recovered. This outcome is then transferred into the message table in the server and recovered in portable application or on the site page where relating data, for example, pesticide name, measure of pesticide to be utilized and natural pesticides which are put away. Presently the Farmer will probably recover the total data in a respectable arrangement on the screen of the Application

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Journal of Electrical Engineering and Computer Science (JEECS) ISSN 2287-106X Published by SDIP, London, United Kingdom.
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