Course Description
This micro-course introduces how AI-driven automation is transforming modern farming—boosting yield, reducing inputs, and improving sustainability. You’ll explore practical use cases including autonomous machinery, robotic crop care, controlled-environment agriculture, and data-driven irrigation, with a focus on business value and operational readiness. Ideal for organisations upskilling teams to make informed, low-risk adoption decisions.
Who Should Take This Course
Designed for farm and operations managers, agronomists, sustainability leads, IT/OT and data teams, consultants, and business analysts in agri-food organisations. Useful for procurement and innovation managers evaluating vendors, and for frontline supervisors who will oversee day-to-day automated operations.
Prerequisites
No prior experience needed.
What You Will Learn
- Explain how AI-enabled tractors, harvesters, and field robots work and where they create ROI.
- Evaluate robotic weed and pest control approaches (vision, sensors, and autonomy) for different crops.
- Outline the capabilities and limits of autonomous greenhouse systems, from climate control to yield optimisation.
- Apply the principles of smart irrigation—sensors, thresholds, and automation—to reduce water and energy use.
- Identify data, connectivity, and integration requirements (IoT, edge AI, telemetry) for reliable deployments.
- Assess risks and safeguards, including safety, ethics, regulation, and change management for workforce adoption.