OneSoil Platform with AI Agronomist

Organization
OneSoil · Switzerland
Solution Type
Platform
Collaboration
Licensing, Marketing
OneSoil Platform with AI Agronomist

1. Technology overview

OneSoil is a Swiss satellite-powered agricultural intelligence company whose platform has been used by farmers since 2018. It reports more than 140,000 farmers using its tools, presence in 180 countries and 650 million hectares of arable land analyzed, and it works with agri-service companies such as consultants, soil sampling services, machinery dealers and input suppliers, as well as food companies, traders, banks and governments.

The OneSoil Platform combines satellite imagery (including Planet Labs), weather data and the company's own AI models for field boundaries, crop detection and productivity zones. Growers and advisers monitor NDVI, NDRE and moisture layers, detect anomalies, build zone-based soil sampling plans, run strip trials and create variable-rate prescription maps for seeding, fertilizing and spraying, exported to machinery or synced with John Deere Operations Center. Since 2026 an AI Agronomist chat answers field-specific questions, while OneSoil Global Analytics supplies field boundaries and crop maps by API.

2. Highlighted features & specifications

  • Field monitoring: NDVI, NDRE, RECI, moisture and weather layers with anomaly detection.
  • AI Agronomist: field-level chat and a daily ranked list of issues from satellite, weather and crop calendar data.
  • Productivity zones and VRA: prescription maps for seeding, fertilizing and spraying.
  • Soil sampling and trials: zone-based sampling plans and control or treatment strip trials.
  • Scouting and field diary: mobile observations of pests, disease, weeds and lodging plus spraying windows.
  • Integrations and data: John Deere Operations Center sync, machinery export formats and Global Analytics API.

3. Potential application

  • Fertilizer and seed companies in Vietnam equipping agronomists to monitor customer fields and issue variable-rate recommendations.
  • Large rice, corn or sugarcane farms planning zone-based soil sampling and fertilization.
  • Food processors and traders using Global Analytics crop maps to estimate sourcing areas.

4. Benefits

  • Earlier detection of stressed zones and field issues through satellite monitoring and a daily AI-ranked priority list.
  • Input savings from variable-rate maps, with estimated savings shown before application; the vendor cites ROI of 3x to 28x.
  • Agri-service partners report 60% more capacity to serve clients without expanding teams.
  • Productivity zones that the vendor says correlate over 90% with yield maps, supporting soil sampling and trial design.

6. Other information

Swiss company; raised a 5 million USD Series A in 2021 led by Almaz Capital with PortfoLion, and 1 million USD from existing investors to build AI Agronomist in 2026. Partner logos include BASF, Cargill, Bayer and Corteva, and Bayer validated its crop classification accuracy.

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