A machine learning approach to drought stress level classification of tobacco plants.
Christoph StockerFranz UhrmannOliver ScholzMichael SiebersUte SchmidPublished in: LWA (2013)
Keyphrases
- image classification
- feature vectors
- pattern recognition
- features extraction
- classification accuracy
- pattern classification
- levels of abstraction
- decision trees
- feature space
- classification algorithm
- support vector machine svm
- decision support system
- support vector machine
- classification systems
- feature extraction
- support vector
- classification rate
- automatic classification
- classification process
- classification method
- feature selection
- benchmark data sets
- machine learning algorithms
- classification scheme
- risk management
- classification models
- decision rules
- class labels
- benchmark datasets
- machine learning
- multiresolution
- training set
- preprocessing
- learning algorithm