Project 06 · AgriTech / Software

Plant Growth Recipe Engine

Versioned, Trigger-Based Grow Profiles for Any Crop

Industry
AgriTech / Software
Services
Software Engineering Data Modeling UX
TRL
3 → 8
Duration
4 months
Technologies
Node.js PostgreSQL JSON schema rule engine
Recipe schema lifecycle
Figure 1 — Four-stage recipe lifecycle with trigger-based transitions.
Visual recipe editor mockup
Figure 2 — Web-based recipe editor with stage-by-stage configuration.
Real-world Plant Growth Recipe Engine installation
Figure 3 — Real-world deployment.

Project background

Growers managing multiple crops needed a way to standardize and share grow profiles — the combinations of light, nutrient, irrigation, and climate settings that vary across a plant's lifecycle. Ad-hoc spreadsheets were causing inconsistent outcomes.

Challenge

Designing a recipe format flexible enough to capture any crop while remaining strict enough to validate automatically. Supporting stage transitions based on time, sensor thresholds, or operator approval, and versioning recipes so improvements could be traced.

Approach & solution

We defined a structured recipe schema with stages, setpoints, triggers, and tolerances. A web editor allowed growers to build and fork recipes visually, while the engine executed them against live device fleets. All runs were logged for comparison, enabling continuous improvement.

Results & benefits

Recipes became a shareable asset across sites, dramatically shortening the learning curve for new crops. Growers compared runs side-by-side and promoted the best-performing versions to production with confidence.

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