Plant Disease Detection and Classification Using Machine Learning
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