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regenerative-agriculture

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This data package provides a spatially and temporally broad, multivariate dataset that quantifies trade-offs and co-benefits of tillage management in North American row-crop systems. Treatment-level means are provided for multiple ecosystem services, including crop yield, soil organic carbon (SOC) stocks, and N2O emissions, with detailed metadata.

  • Updated Mar 20, 2026
  • R
farm-notebook-examples

Beginner-friendly Jupyter notebooks for farmers, ranchers & agronomists — soil health, livestock genetics (NSIP/Katahdin), grant writing, grazing management, and ecological monitoring with hands-on Python examples

  • Updated Jun 22, 2026
  • Jupyter Notebook
.github

Organization-wide GitHub configuration for Epic Pastures: reusable CI/CD workflows, composite actions, AI agents and Copilot skills for regenerative agriculture and smart farm automation projects.

  • Updated Jan 19, 2026

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