Course Description
Learn how modern AI supports regenerative and sustainable farming—from optimizing crop rotations and cover crops to monitoring biodiversity and soil health. This micro-course shows how predictive models and precision approaches can cut inputs, boost resilience, and unlock credible carbon outcomes that matter for ESG reporting and supply-chain commitments.
Who Should Take This Course
Ideal for sustainability leads, farm and estate managers, agronomists, operations and procurement teams in food & beverage supply chains, ESG and compliance officers, and consultants advising agricultural clients. It’s also suitable for non-technical managers seeking practical, business-focused AI upskilling.
Prerequisites
No prior experience needed. Familiarity with basic farm operations or tools like Excel/Power BI is helpful but not required.
What You Will Learn
- How to match regenerative farming challenges with concrete AI use cases (rotation planning, cover cropping, biodiversity and soil regeneration tracking).
- Ways to use farm records, sensors, and satellite imagery to measure soil health, habitat diversity, and field performance.
- Approaches for modeling fertilizer and pesticide reduction to cut costs and environmental impact without sacrificing yield.
- Foundations of precision carbon farming, including KPIs and MRV (measurement, reporting, verification) readiness.
- How to build a lightweight roadmap and communicate ROI and ESG benefits to stakeholders.