Combining Convolutional Neural Networks and Rule-Based Approach for Detection and Classification of Tomato Plant Disease.
Erika Rhae MagaboAnna Liza RamosAaron De LeonChristian ArcedoPublished in: NiDS (2) (2023)
Keyphrases
- convolutional neural networks
- classification scheme
- machine learning
- automatic classification
- feature extraction and classification
- robust detection
- classification accuracy
- false alarms
- support vector machine
- pattern recognition
- support vector
- feature extraction
- feature space
- object detection
- image classification
- decision trees
- automatic detection
- neyman pearson
- support vector machine svm
- classification systems
- classification models
- classification method
- anomaly detection
- feature set
- supervised learning
- feature vectors
- feature selection
- event detection
- classification algorithm
- detection method
- neural network
- control system
- digital mammograms
- microcalcification clusters
- convolutional network