Method / resourcemodel-written summary

YOLOv8nGP improved soybean recognition recall by 1.1% over YOLOv8n.

A claim from Weed Recognition at Soybean Seedling Stage Based on YOLOV8nGP + NExG Algorithm · 2024

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

YOLOv8nGP improved soybean recognition recall by 1.1% over YOLOv8n.

Taxon
soybeanGlycine maxt0
Outcome
Recall (R)e0
Direction
improvese0
Value
1.1%e0
Comparator
original YOLOv8ne0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier

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

Glycine max
Glycine max · TaxonPublic domain · Wikimedia Commons ↗

Verbatim

e0

“Compared with the original YOLOv8n, the YOLOv8nGP improves the Precision (P), Recall (R), and F1 metrics by 1.1% each”

✓ located verbatim in the source · abstract, characters 608–725
t0

“Soybean”

✓ located verbatim in the source · title, characters 20–27

Title

Weed Recognition at Soybean Seedling Stage Based on YOLOV8nGP + NExG Algorithm

Tao Sun; Longfei Cui; Lixuan Zong; et al. Agronomy 2024. doi:10.3390/agronomy14040657

Other claims from this paper (5)

Record rev-86bdfb86cb8749cb9c624b99f74add373e8c52194df9503356c5cb844f79e784 · schema claims-v0.9 · position 2 in the model’s answer