Method / resourcemodel-written summary

AgriMM provides a benchmark of disease images, expert knowledge entries and bilingual prompts.

A claim from Agridoctor: A Multimodal Intelligent Assistant for Agriculture · 2026

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

AgriMM provides a benchmark of disease images, expert knowledge entries and bilingual prompts.

Taxon
crope1
Outcome
benchmarke0
Value
400,000 disease images, 831 expert knowledge entries, and 300,000 bilingual promptse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“we build AgriMM, a benchmark with 400,000 disease images, 831 expert knowledge entries, and 300,000 bilingual prompts”

✓ located verbatim in the source · abstract, characters 785–902
t0

“Agriculture”

✓ located verbatim in the source · title, characters 51–62
e1

“Accurate crop disease diagnosis”

✓ located verbatim in the source · abstract, characters 0–31

Title

Agridoctor: A Multimodal Intelligent Assistant for Agriculture

Mingqing Zhang; Zhuoning Xu; Peijie Wang; et al. ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026. doi:10.1109/icassp55912.2026.11464537

Other claims from this paper (1)

Record rev-d0e0bae9e74754fa8495f072872a2e1815faefd7fb7d0fbfab23fb4d42344b9d · schema claims-v0.9 · position 1 in the model’s answer