Sera acted as the intelligence layer above climate computers, substrate sensors (WC/EC at depths), drain logs, irrigation events, and the grower’s uploaded protocols/SOPs. It continuously reasoned over root-zone physics, transpiration demand, and site context to:

• Explain status in natural language: "Drain % averaged 4.2% this week—below target 6–8%; EC stacking to 4.5 mS/cm from insufficient refreshment volume. Projected: Minor uptake limitation if uncorrected."

• Recommend precise adjustments: Optimize cycle timing/volume based on real-time dry-back rates, EC-drip/drain ratios, radiation, and VPD—e.g., "Increase morning shot 12% on affected slabs to refresh EC to 3.8 mS/cm per your generative protocol."

• Deliver instant guidance via chat: Ask "Why low drain % in Sector B?" or "How to cut water use without stress?" → get contextual root-cause + protocol-aligned suggestions (e.g., extend interval 15 min during low radiation, add short pulse if dry-back >16%).

• Automate smart orchestration: Shift from static schedules to demand-aware control—trigger refresh cycles only when needed, suppress excess volume during low-transpiration periods, and route alerts for high-impact deviations.

• Enforce consistency: Knowledge Base captured their fertigation recipes, drain % targets, EC stability rules, and crop-specific tolerances so every recommendation stayed tailored, repeatable, and safe across zones/shifts.

No new hardware or major changes—just superior interpretation and knowledge activation over existing data to close efficiency gaps.