Method / resourcemodel-written summary

YOLOv11s was selected among four models for F1-score, fewest false negatives and real-time performance.

A claim from LiDAR–Camera Fusion for 3D Fruit Counting and Density Mapping in Horizontal Trellis Orchards · 2026

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

YOLOv11s was selected among four models for F1-score, fewest false negatives and real-time performance.

Taxon
pear orchardse1
Outcome
F1-score, lowest false negatives (FN) count, and real-time performancee0
Comparator
four evaluated YOLO modelse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier

Verbatim

e0

“Among the four evaluated YOLO models, YOLOv11s was selected based on its F1-score, lowest false negatives (FN) count, and real-time performance.”

✓ located verbatim in the source · abstract, characters 516–660
e1

“horizontal trellis pear orchards”

✓ located verbatim in the source · abstract, characters 181–213
t0

“Orchards”

✓ located verbatim in the source · title, characters 84–92

Title

LiDAR–Camera Fusion for 3D Fruit Counting and Density Mapping in Horizontal Trellis Orchards

Jaehwan Lee; Meguna Ohata; Hiromichi Itoh; et al. Journal of Robotics and Mechatronics 2026. doi:10.20965/jrm.2026.p0449

Other claims from this paper (3)

Record rev-d4b8da22dc857a02ebf8b92a9ca2a789c4c74b6863faf0414dcd7767f231bff9 · schema claims-v0.9 · position 1 in the model’s answer