Real Autonomy. Real Impact.

Farm T, which runs a smart farm, had to manage many factors such as temperature, humidity, CO₂ and solar radiation to maintain the right growing conditions. But heating and cooling, ventilation, shading and irrigation each ran on their own setpoints, making it hard to manage environmental factors that affect one another as a whole.

For example, increasing ventilation to lower CO₂ levels also changed temperature and humidity, so the settings of other equipment had to be readjusted. Managers had to keep retuning multiple systems while weighing crop growth, outside weather and energy costs.

Modapl integrated growing-environment data, including temperature, humidity, CO₂ and solar radiation, with crop growth information. AI analyzes crop growth targets, outside weather and energy use together to decide the best way to operate, then coordinates heating and cooling, ventilation, shading and irrigation as one.

Rather than optimizing individual machines, it sets control strategies based on the growing environment and energy efficiency of the whole farm, and automatically adjusts equipment operating conditions as the environment changes.

Instead of managers adjusting each system's setpoints by hand, AI now optimizes the operation of the entire farm to meet crop growth targets.