The question isn’t whether AI is being used in agriculture. It’s who’s doing it, how, and what they’re actually getting out of it.
In the final session of CAST’s AI at Work in Agriculture series, Dan Maycock — co-founder and chief technology officer of Dataplai and visiting researcher at North Carolina State University — answered that question with real-world evidence. Drawing on deployments across the agricultural supply chain, Maycock examined which commodity use cases are gaining traction, how organizations are measuring the value AI delivers and what separates initiatives that produce results from those that don’t.
The Full Series Is Now Available on Demand
With Session 3 complete, all three sessions of AI at Work in Agriculture are available to watch at any time. Whether you attended every session or are coming to the series for the first time, the full arc — from implementation basics to real-world results — is available on demand through CAST’s online platform.
- Session 1 — Beyond the Basics: Putting AI to Real Work
- Session 2 — Addressing Key Concerns with AI
- Session 3 — Case Studies in AI
Earn a Certificate of Completion
Complete all three sessions and pass the course quizzes to earn a certificate of completion in AI at Work in Agriculture — shareable on LinkedIn and with your organization.
→ Start the course: https://castagscience.thinkific.com/products/courses/AI-Work-in-Agriculture
