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ISSN 2063-5346
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DETECTION OF PLANT DISEASES IN CHILLI LEAVES USING MACHINE LEARNING

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Dr.S.P.V SUBHA RAO, M.BHARGAVI, Dr.T.RAMASWAMY, P.ANUHYA
» doi: 10.48047/ecb/2023.12.si8.174

Abstract

One of the most lamentable dangers to agribusiness is the spread of infections from wiped out to sound plants. On the off chance that not got early, moved infections can possibly spread all through the ranch. Techniques for distinguishing plant sicknesses make it feasible for the client to scale the ID of plant illnesses to countless plants for a minimal price and assist with recognizing contaminated plants in their earliest stages. Convolution Neural Networks (CNN) and K-nearest Neighbors (KNN) are the two particular machine learning (ML) models that will be utilized in this proposition to distinguish plant illnesses in Chilli leaves.

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