Plant Disease Detection and Classification Using Machine Learning

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Authors: ME MS.S.Shilpa
Cited by: 0

Abstract

Plant diseases are a major threat to agricultural productivity and food security, causing significant crop losses worldwide. Early identification and accurate classification of plant diseases are essential to minimize their impact and to support effective crop management. Traditional disease detection methods depend on manual inspection by agricultural experts, which is time-consuming, costly, and often inaccessible to farmers in remote areas.

Fields of Study & Subjects

Smart Agriculture and AI Advanced Neural Network Applications Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 January 2026