Grape Leaf Disease Detection and Classification Using Machine Learning.
Zhaohua HuangAlly QinJingshu LuAparna MenonJerry GaoPublished in: iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- decision trees
- supervised learning
- machine learning algorithms
- text classification
- supervised machine learning
- supervised classification
- support vector machine
- automatic classification
- model selection
- neyman pearson
- robust detection
- machine learning approaches
- classification scheme
- feature selection
- classification accuracy
- feature set
- training samples
- ovarian cancer
- feature extraction
- feature space
- classification models
- pattern classification
- classification method
- class labels
- unsupervised learning
- detection algorithm
- event detection
- learning tasks
- classification algorithm
- false positives
- false alarms
- object detection
- rule learning
- support vector machine svm
- data mining
- anomaly detection
- neural network