Estimation of pore-water electrical conductivity in soilless tomatoes cultivation using an interpretable machine learning model.
Mirko SodiniSonia CaciniAlejandra NavarroSilvia TraversariDaniele MassaPublished in: Comput. Electron. Agric. (2024)
Keyphrases
- machine learning
- formal model
- computational model
- probability distribution
- knowledge representation
- statistical model
- theoretical framework
- theoretical analysis
- density estimation
- probabilistic model
- cost function
- learning models
- artificial intelligence
- learning algorithm
- text mining
- prediction model
- machine learning models
- parameter estimation
- least squares
- support vector machine
- similarity measure
- genetic algorithm