Method / resourcemodel-written summary

The improved detection algorithm reached 97.1% mAP50 accuracy, up 1.2 percentage points.

A claim from Enhanced precision in greenhouse tomato recognition and localization: A study leveraging advances in Yolov5 and binocular vision technologies · 2024

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The improved detection algorithm reached 97.1% mAP50 accuracy, up 1.2 percentage points.

Outcome
mAP50 accuracye0
Direction
increasee0
Value
97.1%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier

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

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“the mAP50 accuracy reached 97.1%, an increase of 1.2 percentage points”

✓ located verbatim in the source · abstract, characters 565–635
t0

“tomato”

✓ located verbatim in the source · title, characters 33–39

Title

Enhanced precision in greenhouse tomato recognition and localization: A study leveraging advances in Yolov5 and binocular vision technologies

Shuangyou Wang; Zhanying Shao; Yongjian Zhang Quality Assurance and Safety of Crops & Foods 2024. doi:10.15586/qas.v16i3.1472

Other claims from this paper (2)

Record rev-426a63fa1f1ddb609a698d00556139344a9e612b4f64b968fad01905066326c4 · schema claims-v0.9 · position 1 in the model’s answer