DHI GRAS helps farmers save water with AI-driven crop insights

DHI GRAS, a Danish advisory and research company, developed an AI-powered solution for efficient water management in agriculture to address the critical challenge of water scarcity. Their technology combines thermal and optical satellite data with meteorological inputs to accurately measure crop water evaporation and advise farmers on precise irrigation needs. The AI algorithm is designed to prevent over-watering, optimize crop yields, and reduce waste, allowing farmers to manage resources more sustainably and efficiently. The solution is freely available and scalable globally, empowering farmers in diverse climates, including those in developing nations with limited data and technology access. By harnessing satellite-derived insights, DHI GRAS's system supports agricultural production in regions heavily impacted by drought and variable weather events. Microsoft supported and endorsed the project due to its alignment with sustainable agriculture and water management goals. The technology is pivotal for food security as global populations rise and helps address one of the most pressing issues facing modern farming practices: sustainable use of freshwater resources. Through advanced analytics and targeted farm advisories, the DHI GRAS solution ensures better water utilization for crops such as avocados in Mexico, cotton in India, and staple crops in Africa, Europe, and beyond. The project fosters knowledge sharing and empowers agricultural communities to grow more food using less water.

Organization
DHI GRAS
Industry
Agriculture
Location
Denmark
Published
July 2019

Reported outcomes

Strategic outcomes

New product / capabilityAI-powered crop irrigation advisoriesCost efficiencyReduced water waste in farmingMarket & geographic expansionAccessible platform for farmers worldwideNew product / capabilityScaled across water-stressed regions

Primary read

Use case focus

Showing 3 of 3

  • 1AI-guided Precision Irrigation
  • 2Satellite Data-Driven Crop Water Management
  • 3Agricultural Sustainability with AI Analytics
  • Rising global water risk and scarcity in agriculture
  • Over-reliance on manual assessment for crop irrigation needs
  • Inefficiency and waste due to over- or under-watering
  • Limited access to actionable crop data for farmers in developing regions
  • AI algorithm processes thermal and optical satellite data for accurate crop water evaporation measurement
  • Combines satellite data with meteorological inputs and delivers irrigation recommendations
  • Free and accessible platform for use by farmers worldwide
  • Scalable solutions supported by Microsoft for broad global impact
Technologies
  • Increased water use efficiency for farms in diverse regions
  • Reduced over-watering and water waste
  • Enhanced food security through optimized crop yields
  • Scalable technology reaching water-stressed agricultural communities globally
Architecture

Thermal and optical satellite data and meteorological data are combined and processed by an AI algorithm, generating field-specific irrigation advisories for farmers via a cloud-accessible platform.

Sources & evidence1
Groundedness: Unavailable

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