On combining vision-based hybrid classifiers for weeds detection in precision agriculture.
Alberto Tellaeche IglesiasMaría GuijarroGonzalo Pajares-MartinsanzXavier P. Burgos-ArtizzuAngela RibeiroPublished in: Int. J. Reason. based Intell. Syst. (2010)
Keyphrases
- precision agriculture
- object detection
- real time
- decision trees
- false alarms
- support vector machine classifier
- automatic detection
- support vector
- false positives
- detection method
- human computer interaction
- classification systems
- discriminative classifiers
- vision system
- combining classifiers
- multi class
- multiple classifiers
- training data
- neural network
- vehicle detection
- machine learning algorithms
- detection accuracy
- event detection
- test set
- anomaly detection
- feature set
- data mining
- data sets