Method / resourcemodel-written summary

The method was robust to varying illumination and occlusion.

A claim from Window Zooming–Based Localization Algorithm of Fruit and Vegetable for Harvesting Robot · 2019

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The method was robust to varying illumination and occlusion.

Taxon
Fruit and Vegetablet0
Outcome
robust against the influences of varying illumination and occlusione0
Value
96.33%e0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier

Verbatim

e0

“The experimental results showed that the proposed method could be robust against the influences of varying illumination and occlusion, and the average accurate recognition rate was 96.33% under six different conditions.”

✓ located verbatim in the source · abstract, characters 1325–1544
t0

“Fruit and Vegetable”

✓ located verbatim in the source · title, characters 47–66

Title

Window Zooming–Based Localization Algorithm of Fruit and Vegetable for Harvesting Robot

Chenglin Wang; Tianhong Luo; Lijun Zhao; et al. IEEE Access 2019. doi:10.1109/access.2019.2925812

Other claims from this paper (3)

Record rev-9a08af6924dedd6584a23924af36c37500f6920241d4965ab42f9dac1d6be740 · schema claims-v0.9 · position 1 in the model’s answer