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Taranis (Tel Aviv / USA)Taranis
AI-driven crop scouting platform that uses drone imagery at leaf level (0.3 mm/pixel) to detect weeds, diseases, insects and nutrient deficiencies. Ag Assistant is a multimodal generative AI assistant for agronomists.

- Provider based outside the EU
Last checked: 6 August 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
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Aweta UltraVisionon requestProprietary deep-learning computer-vision models trained on 500M+ agricultural data points; cloud hosting in the US; no public GDPR data processing agreement available, check before use in the EU. 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 Taranis
- Which AI model does Taranis use?
- The maker of Taranis does not disclose which AI model sits underneath. Proprietary deep-learning computer-vision models trained on 500M+ agricultural data points; cloud hosting in the US; no public GDPR data processing agreement available, check before use in the EU.
- How much does Taranis cost?
- on request (seasonal packages by area and drone flights). Check the current price on the provider's website; rates often change.
- Who is Taranis for?
- Taranis is aimed at the agricultural sector. It fits work such as crop monitoring and disease detection via satellite and drone, precisely matching irrigation and fertilisation to soil and weather, monitoring crop health, and intervening early.
- What should I look out for with AI in the agricultural sector?
- 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, the proof-of-use obligations and spraying licences remain with the farmer. Animal data in livestock farming may contain personal data of owners.
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