Observation parsing
Turning crop scout language into structured symptoms, actions, owner fields, and crop history.
Applied research
Operational intelligence for plants, people, and procedures.
NextWave Garden researches how large-model applications can help growers convert observations, sensor variation, SOPs, and training material into daily actions.
See products
Important findings
Applied research outputs
- Grower notes are valuable only when they become searchable actions. Free-form observations need to become tasks, symptoms, crop-stage context, and follow-up prompts.
- Sensor anomalies require narrative, not just charts. Operators act faster when humidity, EC, temperature, and light changes are translated into possible causes and practical checks.
- Facility-specific knowledge beats generic growing advice. SOP-grounded answers reduce confusion because they reflect the equipment, crop plan, and process rules of the actual site.
Research tracks
What the team studies
Anomaly narratives
Explaining environmental changes in plain language for shift leads and facility managers.
SOP grounding
Keeping model answers attached to approved procedures, manuals, and local operating rules.