Sally R’s smart optimization algorithm uses data analytics, artificial intelligence, and machine learning for climate control and optimization of vapor pressure deficit (VPD). Real-time optimization is done by using the input from sensors for temperature, humidity, soil moisture, and root temperature, also based on plant physiology, and photosynthetic active radiation (PAR).
This service is already implemented in buildings owned by some of the largest real estate companies globally. It’s easily integrated into any BMS and controls the indoor air quality in a safe and sustainable way with energy savings of up to 50 %.