Machine learning for food security: current status, challenges, and future perspectives.
Noureddine JarrayAli Ben AbbesImed Riadh FarahPublished in: Artif. Intell. Rev. (2023)
Keyphrases
- knowledge discovery
- current status
- machine learning
- future directions
- lessons learned
- text mining
- data mining
- pattern recognition
- open issues
- real world
- computer science
- active learning
- decision trees
- text classification
- machine learning algorithms
- machine learning methods
- key issues
- knowledge acquisition
- current issues
- explanation based learning
- technical challenges
- advanced technologies
- learning tasks
- semi supervised learning
- model selection
- supervised learning
- feature selection
- artificial intelligence