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A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat.
Syed Haleem Shah
Yoseline Angel
Rasmus Houborg
Shawkat Ali
Matthew F. McCabe
Published in:
Remote. Sens. (2019)
Keyphrases
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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