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...