Which AI model does PATS use?

The maker of PATS does not publish which AI model sits underneath. Proprietary image recognition for insects; no language model. Ask about hosting location.

How much does PATS cost?

On request. Check the current price on the provider's website; rates change often.

PATS is aimed at greenhouse horticulture. It supports 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 using 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.

Home / Greenhouse horticulture / PATS

PATS (Delft, Netherlands)

PATS

Pest monitoring for greenhouses. The PATS-C camera recognises flying insects by size, speed and flight pattern; Trap-Eye counts insects on sticky traps. This lets you spot adult pests early so you can intervene biologically sooner. A micro-drone that eliminates pests (PATS-X) has been announced.

Go to the website PATS alternatives

Shared spot4of 14 professional tools with a GDPR profile in greenhouse horticulture

GDPR: Limited

Provider based in the Netherlands

Each tile is a professional tool in greenhouse horticulture, the strongest GDPR profile on the left. 8 professional tools, like PATS, have a limited profile: they share this spot. Click for that tool.

Priceon request

Free trialNot foundNot found on the provider's site when checked on 29 October 2026

BasedDelft, NetherlandsNetherlands

ModelNot publicproprietary image recognition for insects; no language model. Hosting location to be requested.

Last checked: 29 October 2026 · How we check

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What it does

PATS-C camera counts flying insects

Identify insects by flight pattern

Trap-Eye: photograph and count sticky traps

Recognise pests and beneficial insects

Trap-Eye MAP GUIDE with hotspots

Web dashboard with daily data

PATS-X drone (in testing)

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All 14 professional tools for greenhouse horticulture

PATS compared

PATS vs Source PATS vs IUNU LUNA AI

Underlying model

proprietary image recognition for insects; 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.

GDPR check for horticulture

Questions about PATS

AI for horticulture

Which AI model does PATS use?: The maker of PATS does not publish which AI model sits underneath. Proprietary image recognition for insects; no language model. Ask about hosting location.
How much does PATS cost?: on request. Check the current price on the provider's website; rates change often.
Who is PATS for?: PATS 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 harvests 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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