Agri-Foundation-145k: A Unified Large-Scale Dataset for Agricultural Disease Detection

Read full text
Authors: Mouadh Bekhouche, Soumia Zertal
Cited by: 0

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