Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial Intelligence and the Water-Energy-Food Nexus: Advancing Climate Change Adaptation by Improving Water Management, Energy Systems, and Food S

Artificial Intelligence and the Water-Energy-Food Nexus: Advancing Climate Change Adaptation by Improving Water Management, Energy Systems, and Food S

Brears, Robert C.

Paperback

General Political Science

ISBN10: 1991406037
ISBN13: 9781991406033
Publisher: Our Future Water
Published: Oct 3 2025
Pages: 102
Weight: 0.32
Height: 0.21 Width: 6.00 Depth: 9.00
Language: English
Artificial intelligence is transforming how societies manage the water energy food nexus, offering new ways to address climate change, resource scarcity, and sustainability challenges. This book provides professionals, researchers, and policymakers with a clear framework for understanding how AI applications can support water security, renewable energy, and food systems in an interconnected world.
  • Understand how the water energy food nexus shapes global sustainability and climate change adaptation strategies
  • Explore the role of artificial intelligence in water management, from monitoring resources to improving distribution efficiency
  • Learn how AI supports renewable energy forecasting and grid optimization under conditions of climate variability
  • Gain insight into precision agriculture and food security solutions powered by advanced data analytics
  • See how circular economy principles are strengthened by AI to reduce waste and improve resource efficiency
  • Familiarize yourself with governance frameworks that ensure transparency, equity, and accountability in AI adoption
  • Explore long-term scenarios of AI in climate resilience and systemic resource planning
  • Understand the ethical dimensions of AI in resource management and the implications for sustainability transitions

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