Claim · model-written summary
Under challenging field conditions model fit was R2 0.9598.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
e0“an R2 value of 0.9598”
t0“Tea”
Title
Development and Experiment of Adaptive Oolong Tea Harvesting Robot Based on Visual Localization
Ruidong Yu; Yinhui Xie; Qiming Li; et al. Agriculture 2024. doi:10.3390/agriculture14122213
Other claims from this paper (7)
- Method / resource Under ideal conditions the algorithm reached 43.10% inliers.
- Method / resource Under ideal conditions model fit reached R2 0.9787 and outperformed RANSAC variants.
- Method / resource Under challenging field conditions the algorithm maintained 47.50% inliers.
- Method / resource Algorithm processing time met real-time tea picking requirements.
- Method / resource Intact tea rate improved from 79.34% in the first harvest to 81.57% in the second.
- Method / resource Usable tea rate stayed around 85%.
- Method / resource Robot harvesting efficiency was 260.14 kg/h, above handheld and riding-type pickers.