Method / resourcemodel-written summary

The hyperspectral imaging plus improved YOLOv5 pipeline detected early latent bruises on mangoes with mAP_0.5 of 98.2%, with balanced precision and recall and fast inference at 320×320 resolution.

A claim from Detection of early latent bruise on mangoes based on hyperspectral imaging combined with band operations and improved YOLOv5 · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The hyperspectral imaging plus improved YOLOv5 pipeline detected early latent bruises on mangoes with mAP_0.5 of 98.2%, with balanced precision and recall and fast inference at 320×320 resolution.

Taxon
mangoesMangifera indicat0
Outcome
mAP_0.5e1
Value
98.2%e1

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

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

Mangifera indica
Mangifera indica · TaxonBilljones94 · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

t0

“mangoes”

✓ located verbatim in the source · title, characters 36–43
e1

“The resulting pipeline detected early latent bruises with high accuracy, achieving mAP_0.5 = 98.2% with balanced precision/recall and fast inference at 320×320 resolution”

✓ located verbatim in the source · abstract, characters 642–812

Title

Detection of early latent bruise on mangoes based on hyperspectral imaging combined with band operations and improved YOLOv5

Shang-tao Ou-yang; Chi Yao; Yan-bing Li; et al. Journal of Future Foods 2026. doi:10.1016/j.jfutfo.2025.12.017

Record rev-bc5cf240b807d9dff24e61f1adb9b131a0e28d0b32cfd3735df174acf9e85429 · schema claims-v0.9 · position 1 in the model’s answer