AI in an Agricultural Community
Hampshire County AI explores how generative AI can support small farms, food access, and practical decision-making in a rural place
What this work looks like
This year, Hampshire County AI is focused on applied, place-based work at the intersection of agriculture and generative AI. The emphasis is not on product development or startups, but on understanding how emerging tools can support real farm operations, seasonal planning, and community food systems in Hampshire County, West Virginia.
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Farm-based experiments using generative AI tools
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An agricultural action chatbot for planning and decision support
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Farm business and market planning grounded in local data
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Case studies tied to seasonal farm work, markets, and community events
This work is rooted in Hampshire County, West Virginia - an agricultural region shaped by seasonality, limited resources, and strong informal networks. The goal is not automation or replacement, but stewardship: using AI carefully, transparently, and in ways that respect local knowledge and lived experience.
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Who this is for
This work is for farmers, growers, researchers, students, and community members who are curious about how AI might support agricultural decision-making in real places. It is especially relevant for people interested in learning through observation, hands-on work, and reflection rather than formal programs or coursework.
Some projects include hosting short-term learners or WWOOFers who want exposure to food access projects, farm systems, and the practical use of AI tools in an agricultural setting. These experiences are structured, limited in scope, and designed to fit alongside existing farm and work schedules.
Current areas of focus
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Agricultural action chatbot development
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Farm and market decision-support experiments
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Event- and season-based case studies
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Community food access planning
TO LEARN MORE
- Explore current case studies
- Learn about farm-based AI tools
- Inquire about searsonal learning opportunities
© 2026 by Hampshire County AI