Method / resourcemodel-written summary

Field measurements produced density maps of pollen beetle distribution.

A claim from Deep Learning for Real-Time Detection of Brassicogethes aeneus in Oilseed Rape Using the YOLOv4 Architecture · 2026

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Field measurements produced density maps of pollen beetle distribution.

Taxon
rapeseede0
Interactor
pollen beetlesMeligethese0pest
Outcome
density maps illustrating the distribution of pollen beetlese0
Setting
rapeseed fieldse0

Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentComparatorDirectionValueQualifier

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

Meligethes
Meligethes · Interactor · picture from its Wikimedia Commons categoryRichard Avery · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Field measurements conducted during the traversal of rapeseed fields enabled the creation of density maps illustrating the distribution of pollen beetles”

✓ located verbatim in the source · abstract, characters 1209–1362

Title

Deep Learning for Real-Time Detection of Brassicogethes aeneus in Oilseed Rape Using the YOLOv4 Architecture

Ziemowit Malecha; Kajetan Ożarowski; Rafał Siemasz; et al. Applied Sciences 2026. doi:10.3390/app16021075

Other claims from this paper (2)

Record rev-b472bb8bbdf2692ccf5dff660567379fd354f8e1132edbb4a0be16ad4901a9ce · schema claims-v0.9 · position 2 in the model’s answer