Automatic model based dataset generation for fast and accurate crop and weeds detection.
Maurilio Di CiccoCiro PotenaGiorgio GrisettiAlberto PrettoPublished in: IROS (2017)
Keyphrases
- detection accuracy
- automatic detection
- detection algorithm
- data driven
- fully automatic
- semi automatic
- high quality
- high accuracy
- object detection
- lesion segmentation
- false positives
- real world
- real time
- detection scheme
- generation process
- model free
- training dataset
- synthetic datasets
- data sets
- false alarms
- neural network
- detection rate
- video sequences
- high precision
- information retrieval
- image segmentation
- benchmark datasets
- training data
- intrusion detection
- computationally efficient
- anomaly detection
- reinforcement learning