Implementation of a decision support system for prediction of the total soluble solids of industrial tomato using machine learning models.
Christoforos-Nikitas KasimatisEvangelos PsomakelisNikolaos KatseniosGiannis KatseniosMarilena PapatheodorouDimitrios VlachakisDimitris ApostolouAspasia EfthimiadouPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- decision support system
- machine learning models
- decision support
- decision makers
- decision making
- predictive model
- data warehouse
- expert systems
- prediction accuracy
- management system
- machine learning
- machine learning approaches
- prediction model
- machine learning algorithms
- spam filtering
- clinical trials
- multicriteria decision making
- agent based architecture
- case based reasoning
- fuzzy logic
- pairwise
- learning models
- training set
- metadata
- clinical practice
- databases
- medical decision support systems