In controlled environment agriculture, the core operational challenge is coordinating interdependent systems—irrigation, fertigation, lighting, HVAC, and CO2—to maintain optimal Vapor Pressure Deficit (VPD) and root-zone conditions. Manual management creates bottlenecks, leading to suboptimal yields, energy waste, and input overuse. A custom automation architecture replaces this reactive guesswork with a closed-loop control system that fuses sensor data, executes precise actions via APIs or browser agents, and continuously optimizes for conflicting goals like humidity control versus irrigation volume.




