Greenhouse AI — Autonomous Glasshouse Intelligence

Overview

Greenhouse AI is an enterprise-grade autonomous crop steering and environmental intelligence platform engineered specifically for high-tech Venlo glasshouse horticulture. Operating as a hardware-agnostic supervisory overlay on legacy climate computers (Priva, Hoogendoorn, Ridder), Greenhouse AI optimizes heating, ventilation, CO2 dosing, thermal screens, and supplemental lighting against dynamic energy spot tariffs while delivering continuous biophysical crop health surveillance.

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The Problem

Commercial protected horticulture has reached an operational scale where microclimatic volatility, energy tariff spikes, and biological pest incursions exceed human cognitive bandwidth. Experienced head growers can effectively manage only 4 to 6 hectares before subtle root-zone imbalances and latent pathogen outbreaks escape detection. Furthermore, volatile electricity spark-spreads and natural gas tariffs directly threaten operational margins, while supermarket delivery fulfillment penalties penalize inaccurate harvest forecasting.

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The Solution

Greenhouse AI acts as a continuous 24/7 co-pilot for cultivation teams. By combining physics-informed model predictive control (MPC), multimodal vision for sticky-trap scouting, and thermal-PAR accumulation algorithms for yield projection, Greenhouse AI automates routine setpoint adjustments, provides deterministic crop disease early warnings, and extends grower management capacity up to fourfold.

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Key Capabilities

1. Tariff-Driven Climate & Energy MPC

• Computes 24–72 hour optimal setpoint schedules for heating, ventilation, humidity deficit, CO2 enrichment, screens, and LED top-lighting.
• Exploits spark-spread arbitrage and day-ahead electricity markets using hot-water buffer tanks and CHP engines.
• Multi-tiered safety verdicts with Advisory, Shadow, and full Closed-Loop operational modes.

2. Sticky-Trap Pest Vision & Automated IPM

• Optical species-level classification and density counting for whiteflies, thrips, Tuta absoluta, aphids, and beneficial biocontrols.
• Spatial infestation heatmaps across glasshouse bays with automated dispatch of targeted IPM work orders.

3. 1–8 Week Forward Harvest Forecasting

• High-precision weekly volume forecasts (kg/m²) derived from real-time fruit counts, color stage distributions, and PAR sums.
• Horizon-aware confidence scoring directly integrated into packhouse logistics and supermarket delivery planning.

4. Precision Irrigation & Dry-Back Control

• Radiation-driven irrigation shot strategies calculated from real-time substrate scale and slab drain telemetry.
• Anomaly guardrails preventing root-zone electrical conductivity (EC) spikes, hypoxia, and transpiration stall.

5. Crop Disease Radar

• Continuous index scoring and early warnings for Botrytis cinerea, powdery mildew, downy mildew, and root pathogen pressures.

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Target Use Cases

• High-Wire Indeterminate Tomatoes: Co-optimizing 24-hour temperature sums, light-use efficiency, and fruit load balance.
• Commercial Long-English Cucumbers: Fast-cycle yield forecasting and vapor pressure deficit (VPD) regulation.
• Sweet Bell Peppers: Stabilizing vegetative-generative flush cycles and preventing blossom-end rot (BER).
• Multi-Site Greenhouse Enterprise Portals: Centralized command workspace providing cross-facility benchmarking and labor allocation.