Litcius/Paper detail

Interpretability of artificial intelligence models that use data fusion to predict yield in aeroponics

Julio Torres-Tello, Seok‐Bum Ko

2021Journal of Ambient Intelligence and Humanized Computing17 citationsDOI

Topics & Concepts

InterpretabilityComputer scienceArtificial intelligenceComputational intelligenceFeature selectionYield (engineering)AutomationMachine learningData miningPattern recognition (psychology)EngineeringMechanical engineeringMetallurgyMaterials scienceAdvanced Chemical Sensor TechnologiesAir Quality Monitoring and ForecastingGreenhouse Technology and Climate Control
Interpretability of artificial intelligence models that use data fusion to predict yield in aeroponics | Litcius