Automatic Citrus Fruit Disease Detection by Phenotyping Using Machine Learning.
Benjamin DohDuo ZhangYue ShenFida HussainRonky Francis DohKwaku AyepahPublished in: ICAC (2019)
Keyphrases
- machine learning
- machine learning algorithms
- learning algorithm
- object detection
- detection algorithm
- lesion segmentation
- pattern recognition
- automatic detection
- false positives
- outbreak detection
- artificial intelligence
- detection accuracy
- detection method
- active learning
- feature selection
- data sets
- computer vision
- disease diagnosis
- machine learning methods
- multiple sclerosis
- computer science
- data mining
- anomaly detection
- explanation based learning
- image acquisition
- inductive logic programming
- learning problems
- fully automatic
- knowledge acquisition
- face detection
- model selection