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30MHz (Rotterdam, Netherlands)30MHz
Data platform for horticulture with wireless sensors, a cloud dashboard and an Intelligence module that turns sensor data into concrete daily actions. Tracks climate, irrigation and energy, including across multiple locations.
Shared spot4of 14 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1) and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in greenhouse horticulture
GDPR: Limited
- Provider based in the Netherlands
Priceon request
Free trialNot foundNot found on the provider's site when checked on 29 October 2026
BasedRotterdam, NetherlandsNetherlands
ModelNot publicit is not public which AI models the Intelligence module uses; ask about hosting location.
Last checked: 29 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Wireless sensors at crop level
Real-time dashboard with alerts
Smart Assistant (AI chatbot)AI insights per chart
Weekly reports (RTR module)Multi-site management
Integration with climate computerWeekly targets per crop and location
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Underlying model
GDPR check for horticulture not disclosed which AI models the Intelligence module uses; ask about the hosting location. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about 30MHz
- Which AI model does 30MHz use?
- The maker of 30MHz does not disclose which AI model sits underneath. Which AI models the Intelligence module uses; ask about hosting location.
- How much does 30MHz cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is 30MHz for?
- 30MHz focuses on greenhouse horticulture. It supports work such as having climate, irrigation and lighting controlled autonomously 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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