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MetaGreenhouse horticulture

Llama for greenhouse horticulture

Meta's natively multimodal, open-weight Mixture-of-Experts family (Scout and Maverick), free to download and self-host.

Not specifically recommended

Llama is not on our list for horticulture under glass. Usable for general work, but first look at the options we recommend for horticulture under glass.

GDPR profileOur summary of what the provider itself publishes about your data: EU hosting possible, no training on your data for business use, and self-hosting available. Caution applies to a model with a documented problem, such as an investigation by a regulator. How we measure
GDPR: Caution
QualityQuality from blind duels on LMArena: users choose between two anonymous answers. A difference of about 20 points is noticeable, a few points is noise. How we measure
–Elo, independent
Editorial scoreOur own assessment on 10 of suitability for professional work, price and privacy. This is a judgement, not a measurement; that is why it always sits alongside the Elo. How we measure
7,6
Entry price
Free
Full GDPR check

What Llama does in horticulture

Core tasks in greenhouse horticulture
  • Letting climate, irrigation and lighting be steered autonomously based on sensor data and weather forecasts
  • Forecasting harvest and production weeks ahead for planning, sales and staffing
  • Detecting pests and diseases early with cameras, sticky traps, drones and scouting robots
  • Combining greenhouse data from the climate computer and sensors into daily reports and cultivation advice
Where Llama is strong
  • Open weights, fully self-hostable
  • Fine-tunable on your own data
  • Very large context window (Scout 10M)
  • GPU-efficient (Mixture-of-Experts)

Llama has a specific GDPR concern. The Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch businesses therefore may not install the multimodal Llama 4 models themselves under the licence. Weigh this heavily before you deploy it in horticulture.

Confidentiality and GDPR

GDPR: Caution

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.

Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.

Rule of thumb Use the business variant with a data processing agreement, and keep a human in the loop for decisions that matter.
Caution the Llama 4 Acceptable Use Policy prohibits the multimodal models for businesses headquartered in the EU. Dutch businesses therefore may not install the multimodal Llama 4 models themselves under the licence terms.

Prices

Self-hostingFreeOpen weights; infrastructure costs only
Meta AI$0Free in WhatsApp/Instagram/Messenger
Hosted API (third parties)from ~$0.03 / 1M inVia Bedrock, Azure, Together, Groq, Novita, varies widely by provider and model size; Meta's own Llama API retired July 2026

Other models for greenhouse horticulture

Claude for greenhouse horticultureAnthropic · editorial 9.01506Gemini for greenhouse horticultureGoogle · editorial 8.61527ChatGPT for greenhouse horticultureOpenAI · edition 8.91485Copilot for greenhouse horticultureMicrosoft · editorial 8.31485
All options for greenhouse horticulture
Professional tools on Llama

We are not aware of any professional tool for horticulture that runs publicly on Llama.

Questions about Llama for horticulture

Is Llama suitable for horticulture?
Not specifically. Llama is not on our list for horticulture under glass; it is broadly usable, but first look at the options we recommend for horticulture under glass. Keep a professional in the loop for every use.
May I put confidential data into Llama?
Cultivation and climate data are commercially sensitive: they reveal your growing strategy, yield and energy use. Put in the contract that you remain the 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 register 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 limits: set minimum and maximum values, keep alarms active, and remain personally responsible for the crop and crop protection. Self-hosting gives full data control within your own EU infrastructure, a strong GDPR argument.
What does Llama cost?
There is self-hosting (free), Meta AI ($0), Hosted API (third parties) (from ~$0.03 / 1M in). Check current prices on the official site.
Next stepAll 26 options for horticultureProfessional tools and general assistants side by side, compared on GDPR profile, price and quality.

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