Beyond Disease Labels: Symptom-Based Vision-Language Learning for Unseen Plant Diseases

Preprint, code and symptom annotations for learning to read visual plant-disease symptoms with vision-language models and evaluating on diseases withheld from training (10-fold unit-grouped cross-validation over 120 disease units, plus an external farmer-photo test). Code and project page: https://github.com/AmirrrezaZ/plant-diagnose-anything , https://amirrrezaz.github.io/plant-diagnose-anything/ . Code is MIT; annotations in data/ are CC BY 4.0. Photographs are not included (PlantWild, CC BY-NC-ND).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24032334
Primary Topic
Smart Agriculture and AI
Type
preprint
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preprint

Beyond Disease Labels: Symptom-Based Vision-Language Learning for Unseen Plant Diseases

Amirreza Zibafar
2 links
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
preprint

Beyond Disease Labels: Symptom-Based Vision-Language Learning for Unseen Plant Diseases

Amirreza Zibafar
preprint en

Abstract

Preprint, code and symptom annotations for learning to read visual plant-disease symptoms with vision-language models and evaluating on diseases withheld from training (10-fold unit-grouped cross-validation over 120 disease units, plus an external farmer-photo test). Code and project page: https://github.com/AmirrrezaZ/plant-diagnose-anything , https://amirrrezaz.github.io/plant-diagnose-anything/ . Code is MIT; annotations in data/ are CC BY 4.0. Photographs are not included (PlantWild, CC BY-NC-ND).

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Smart Agriculture and AI
DOIOpen Access PDFOpenAlex
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Beyond Disease Labels: Symptom-Based Vision-Language Learning for Unseen Plant Diseases — Amirreza Zibafar · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS