Company Performance Metrics
- Dima Chernobilsky: CEO, Co-founder
Arsen Arutyunyan: Senior Software and Solution Architect
Environmental controller to control all aspects of the greenhouse soil or hydro using machine learning algorithms. Using a modular wireless controller, up to 16.000 modules can be connected and up to 64.000 devices can be controlled. Preventing grower errors by machine learning. Regulation of nutrients by a machine learning system at the level of
Ph, EC, DO, ORP. A machine learning system that learns the plant and thus anticipates what the environment will be like in the near future so it can correct it before it changes in an undesirable direction. Delegation of access to different levels of management: head agronomist - full access; employee - limited access; new employee - view only, etc. 64,000 wireless sensors: Humidity Temp, CO2, Water Ammeter, VPD, Soil Moisture, Soil EC, LUX, PAR. Ability to operate the system even without an Internet connection (in the process of obtaining the patent)
