A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat.
Syed Haleem ShahYoseline AngelRasmus HouborgShawkat AliMatthew F. McCabePublished in: Remote. Sens. (2019)
Keyphrases
- random forest
- machine learning
- decision trees
- random forests
- feature set
- ensemble methods
- relevance feedback
- machine learning algorithms
- information retrieval
- fold cross validation
- feature selection
- machine learning methods
- information extraction
- ensemble learning
- support vector machine
- active learning
- rotation forest
- neural network
- decision tree learning algorithms
- data sets
- base classifiers
- multi label
- prediction accuracy
- naive bayes
- data analysis
- training data