An effective classification system for separating sugar beets and weeds for precision farming applications.
Philipp LottesMarkus HoeferlinSlawomir SanderMatthias MuterPeter Schulze LammersCyrill StachnissPublished in: ICRA (2016)
Keyphrases
- classification accuracy
- supervised learning
- automatic classification
- pattern recognition
- classification algorithm
- classification method
- image classification
- decision trees
- machine learning
- support vector
- pattern classification
- text classification
- classification systems
- classification scheme
- supervised classification
- high precision
- learning vector quantization
- machine learning algorithms
- support vector machine svm
- high quality
- real time
- benchmark datasets
- unsupervised learning
- feature set
- text mining
- support vector machine
- object classification
- feature extraction
- database