Agri-Foundation-145k: A Unified Large-Scale Dataset for Agricultural Disease Detection
Abstract
Agri-Foundation-145k is a unified benchmark for plant disease detection comprising 144,751 images across 215 distinct classes, aggregated from 8 open-access sources (PlantVillage, PlantDoc, New Plant Diseases, Tomato Leaf, Cassava, Wheat, PlantSeg, and PlantWild). The dataset features standardized taxonomic alignment and quality control (MD5 deduplication, corruption checks).
Fields of Study & Subjects
Smart Agriculture and AI
Advanced Neural Network Applications
Infrastructure Maintenance and Monitoring
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026
- Document type
- Dataset