Home / Greenhouse horticulture / Viscon EVA Scoutr
Viscon Group ('s-Gravendeel, Netherlands)Viscon EVA Scoutr
Autonomous scouting robot for high-tech greenhouses. EVA drives through the crop day and night and, according to Viscon, recognises more than 15 pests, diseases and nutrient problems down to 10 cm accuracy. Initially for tomato, later pepper and strawberry.

- Provider based in the Netherlands
Last checked: 30 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Works under LED lighting
Dashboards and heatmaps
Trend reports on pest pressureComparable in horticulture
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proprietary image recognition models (trained on 500,000+ labelled images according to Viscon); 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 sets out where your data goes.
Questions about Viscon EVA Scoutr
- Which AI model does Viscon EVA Scoutr use?
- The maker of Viscon EVA Scoutr does not publicly disclose which AI model sits underneath. Own image recognition models (trained on 500,000+ labelled images according to Viscon); no language model. Check the hosting location.
- How much does Viscon EVA Scoutr cost?
- on request. Check the current price on the provider's website; rates change often.
- Who is Viscon EVA Scoutr for?
- Viscon EVA Scoutr is aimed at greenhouse horticulture. It fits work such as having climate, irrigation and lighting controlled autonomously based on sensor data and weather forecasts, predicting 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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