Method / resourcemodel-written summary

YOLOv8 achieved a mAP@0.5–0.95 of 0.941 for chili pepper disease detection.

A claim from Deep learning enables precision agriculture for sustainable chili pepper disease detection in Benin · 2025

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

YOLOv8 achieved a mAP@0.5–0.95 of 0.941 for chili pepper disease detection.

Taxon
chili pepperCapsicumt0
Outcome
mAP@0.5–0.95e2
Value
0.941e2

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Capsicum
Capsicum · Taxon · picture of the genus (one of its species)Public domain · Wikimedia Commons ↗

Verbatim

t0

“chili pepper disease detection”

✓ located verbatim in the source · title, characters 60–90
e2

“It achieved a mean Average Precision (mAP@0.5) of 0.995 and mAP@0.5–0.95 of 0.941”

✓ located verbatim in the source · abstract, characters 1308–1389

Title

Deep learning enables precision agriculture for sustainable chili pepper disease detection in Benin

Mireille Gloria Founmilayo Odounfa; Castro Gbêmêmali Hounmenou; Valère Kolawolé Salako; et al. Discover Artificial Intelligence 2025. doi:10.1007/s44163-025-00583-4

Other claims from this paper (4)

Record rev-d78dbf37b72b3fa4f509d960d8297f5cde1cc26d7b76be32587ae1136aa003a3 · schema claims-v0.9 · position 3 in the model’s answer