A probabilistic maturity model treats ripeness as continuous rather than discrete classes, improving robustness to annotation noise in fruit detection.
Multi-class ob- ject detection using faster R-CNN and estimation of shak- ing locations for automated shake-and-catch apple harvest- ing.Comput
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FruitProM-V2: Robust Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
A probabilistic maturity model treats ripeness as continuous rather than discrete classes, improving robustness to annotation noise in fruit detection.