A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions.
Fernando PalaciosMaría-Paz DiagoJavier TardáguilaPublished in: Sensors (2019)
Keyphrases
- computer vision
- high precision
- high accuracy
- synthetic data
- clustering algorithm
- detection algorithm
- preprocessing
- significant improvement
- dynamic programming
- support vector machine svm
- context aware
- experimental evaluation
- real time
- cost function
- pairwise
- pattern recognition
- image processing
- mobile robot
- computational cost
- optical flow
- objective function
- detection method
- classification method
- neural network