Method / resourcemodel-written summary

The YOLOv8 model detecting Brazil nut fruits in UAV canopy images achieved recall above 90%.

A claim from A Dataset for Brazil Nut (Bertholletia excelsa Bonpl.) Fruit Detection in Native Amazonian Forests Using UAV Imagery · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The YOLOv8 model detecting Brazil nut fruits in UAV canopy images achieved recall above 90%.

Taxon
Brazil NutBertholletia excelsat0
Outcome
recalle0
Value
above 90%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

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

Bertholletia excelsa
Bertholletia excelsa · TaxonTaken by Deathworm at en.wikipedia · Public domain · Wikimedia Commons ↗

Verbatim

e0

“The model achieved recall above 90%, with an F1-score of 0.88”

✓ located verbatim in the source · abstract, characters 1096–1157
t0

“Brazil Nut (Bertholletia excelsa Bonpl.) Fruit Detection”

✓ located verbatim in the source · title, characters 14–70

Title

A Dataset for Brazil Nut (Bertholletia excelsa Bonpl.) Fruit Detection in Native Amazonian Forests Using UAV Imagery

Henrique Pereira de Carvalho; Quétila Souza Barros; Evandro José Linhares Ferreira; et al. Agronomy 2026. doi:10.3390/agronomy16030341

Other claims from this paper (2)

Record rev-e9748f109cb41d79c371a10e03213392b301db93942d5b95a0a1af89414f7b97 · schema claims-v0.9 · position 1 in the model’s answer