Home / Greenhouse horticulture / SAIA
SAIA (Ede, Netherlands)SAIA
Automated greenhouse system for tomatoes in which the plants come to the robot instead of the other way round. Every plant is scanned and tracked individually; robots pick leaves and harvest. According to SAIA, this lets you extend the growing season by nine weeks a year.
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 30 October 2026
Based inEde, NetherlandsNetherlands
ModelNot publicproprietary image recognition and robotics; no language model. Ask about hosting location.
Last checked: 30 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Grow: substrate-free cultivation on mist
See: per-plant vision scanGrowth history per plantWeekly plant inspectionHarvest: robotic harvesting
Robotic leaf picking
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Underlying model
GDPR check for horticulture proprietary image recognition and robotics; no language model. Ask about 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 states where your data goes.
Questions about SAIA
- Which AI model does SAIA use?
- The maker of SAIA does not disclose which AI model sits underneath. Its own image recognition and robotics; no language model. Ask about hosting location.
- How much does SAIA cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is SAIA for?
- SAIA is aimed at greenhouse horticulture. It fits 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 spotting 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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