D. Sacaleanu

COMPARATIVE ASSESSMENT OF RANDOM FOREST, XGBOOST AND MLP MODELS FOR PREDICTIVE GREENHOUSE CONTROL USING WIRELESS SENSOR NETWORK DATA

Control of greenhouse microclimate requires the interpretation of several environmental and substrate-related parameters, including air temperature, relative humidity, light intensity, carbon dioxide concentration and soil moisture. This paper compares three machine learning models, Random Forest, Extreme Gradient Boos...