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Google
Agricultural sectorGemini for the agricultural sector
Google DeepMind's natively multimodal model family, deeply integrated into Workspace, with a very large context window.
Gemini is strong in natively multimodal work: text, image, audio, video and a very large context window; that suits crop monitoring and disease detection via satellite and drone.
- 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: Strong
- 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
- 1527Elo, 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
- 8,6
- Entry price
- $0
What Gemini does in the agricultural sector
- Crop monitoring and disease detection via satellite and drone
- Precisely matching irrigation and fertilisation to soil and weather
- Monitoring animal health and intervening early
- Farm planning, yield forecasts and administration
- Natively multimodal: text, image, audio, video
- Very large context window
- Deep Google Workspace integration
- Enterprise options via Vertex AI
Gemini has a strong published GDPR profile and, with the right business settings, is well suited to the agricultural sector.
Confidentiality and GDPR
GDPR: StrongFarm data (plots, yields, inputs) is commercially sensitive and partly falls under European rules on agricultural data (EU Data Act). Check whether cloud platforms use field data for model training and whether data is stored outside the EU. AI advice on crop protection is supportive only, the proof-of-use obligations and spraying licences remain with the farmer. Animal data in livestock farming may contain personal data of owners.
Via Vertex AI, processing can be pinned to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (though stricter policies apply for the EU/EEA).
Prices
Other models for agriculture
ChatGPT for agricultureOpenAI · edition 8.91485
Copilot for agricultureMicrosoft · editorial 8.31485
Llama for agricultureMeta · editorial 7.6–
Claude for agricultureAnthropic · editorial 9.01506We don't know of a professional tool for the agricultural sector that publicly runs on Gemini.
Questions about Gemini for the agricultural sector
- Is Gemini suitable for the agricultural sector?
- Yes. Gemini is strong in native multimodal work: text, image, audio, video and a very large context window, which fits the agricultural sector well. Always assess the specific task and keep a professional in the loop.
- May I put confidential data into Gemini?
- Farm data (plots, yields, inputs) is commercially sensitive and partly falls under European rules on agricultural data (EU Data Act). Check whether cloud platforms use field data for model training and whether data is stored outside the EU. AI advice on crop protection is supportive only, usage records and spraying licences remain the farmer's responsibility. Animal data in livestock farming can contain personal data of owners. Via Vertex AI, processing can be locked to EU regions (including the Netherlands). Enterprise data is not used for training; the free consumer app offers fewer guarantees (though stricter EU/EEA policies apply).
- How much does Gemini cost?
- There is Free ($0), Google AI Plus (€4.99 / month), AI Pro (€21.99 / month), AI Ultra (from €99.99 / month), Workspace / API (per seat / per token). Check current prices on the official site.
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