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Blue Radix B.V. (Rotterdam, NL)Blue Radix Crop Controller
AI system that autonomously controls climate and irrigation in the greenhouse. Crop Controller recalculates every five minutes with a 72-hour look-ahead and implements the settings within the grower's strategy. Suitable for tomato, cucumber, pepper, aubergine and strawberry.

- Provider based in the Netherlands
- Data in the EU according to the provider
- Publishes certification/GDPR safeguards
Last checked: 5 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Lighting planning and RTR temperature
Production forecast from growth dataComparable in horticulture
Sourceon request
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not public which language model is used; service providers preferably within the EEA, otherwise possibly outside it (according to the provider); storage location not stated (ask); the grower remains the owner of their data (according to the provider); follows the GDPR and the G4 Data Protocol (according to the provider). Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about Blue Radix Crop Controller
- Which AI model does Blue Radix Crop Controller use?
- The maker of Blue Radix Crop Controller does not make public which AI model sits underneath. Service providers preferably within the EEA, otherwise possibly outside it (according to the provider); storage location not stated (ask); the grower remains the owner of their data (according to the provider); follows the GDPR and the G4 Data Protocol (according to the provider).
- How much does Blue Radix Crop Controller cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Blue Radix Crop Controller for?
- Blue Radix Crop Controller is aimed at horticulture. It fits work such as autonomously controlling climate, irrigation and lighting based on sensor data and weather forecasts, forecasting harvest and production weeks ahead for planning, sales and staffing, and detecting pests and diseases early with cameras, sticky traps, drones and scouting robots.
- What should I look out for with AI in greenhouse horticulture?
- Cultivation and climate data are commercially sensitive: they reveal your growing strategy, yield and energy consumption. Put in the contract that you remain owner of your data, where it is stored (ask for EU hosting) and whether the provider may use anonymised data from your greenhouse to improve its algorithms. If there is a chat function, ask which language model and which sub-processors sit behind it; most greenhouse platforms do not disclose this. If you record labour per employee, or cameras and robots capture images showing staff, you are processing personal data: conclude a data processing agreement and inform your employees. Never let an autonomous control system run without boundaries: set minimum and maximum values, keep alerts active and remain ultimately responsible for the crop and crop protection yourself.
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