TEA LEAF DISEASE PREDICTION USING DEEP LEARING ALGORTHIM

Domain:Agriculture

Team members :Aruna devi A ,Aakash S,Abdur Rahuman H,Kupendran N

Hindusthan college of Engineering And Technology


Overview

ndia is among the biggest tea exporter in the world. However, tea leaf diseases caused by persistent pathogen exposure result in considerable crop yield losses around the world. Detection of the disease of tea leaves at early stages can reduce the damage of tea output. Detecting the disease with the naked eye can be inefficient and counterproductive. Convolutional Neural Networks (CNNs) are commonly used to implement an effective method for the image classification. In detection of plant disease, the use of CNN is widespread.

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