USST: Utilizing SimAM and SGA Techniques to Cassava Leaf Diseases Classification in Real Cultivation Environments.
Baoyu ChenShuting LiJingmei HeFeiyong HeYingbiao HuJingjia ChenHuinian LiPublished in: ICIC (LNAI 6) (2024)
Keyphrases
- classification accuracy
- classification method
- classification algorithm
- text classification
- support vector
- real world
- dynamic environments
- pattern recognition
- decision trees
- real life
- machine learning
- supervised learning
- image classification
- genetic algorithm
- support vector machine svm
- preprocessing
- pattern classification
- supervised classification
- risk factors
- classification process
- support vector machine
- real environment
- disease diagnosis
- classification rate
- classification scheme
- interstitial lung
- automatic classification
- data sets
- cross validation
- benchmark datasets
- machine learning algorithms
- training samples
- model selection
- feature selection
- training set