Litcius/Paper detail

Enhancing the prediction accuracy of greenhouse temperatures through hybrid machine learning models: an in-depth comparative analysis of RBF, RF, and XGBoost techniques combined with SMA and MFO optimization strategies

Zhenhua Dai, Tangsen Huang

2025Multiscale and Multidisciplinary Modeling Experiments and Design7 citationsDOI

Topics & Concepts

SMA*Computer scienceArtificial intelligenceMachine learningEnvironmental scienceAlgorithmGreenhouse Technology and Climate ControlPlant Water Relations and Carbon DynamicsIrrigation Practices and Water Management
Enhancing the prediction accuracy of greenhouse temperatures through hybrid machine learning models: an in-depth comparative analysis of RBF, RF, and XGBoost techniques combined with SMA and MFO optimization strategies | Litcius