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.”
t0“Fruit and Vegetable”
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