In this module, you will explore how risk assessment techniques are used to improve the safety of agricultural machinery and guide the development of safer systems. You will examine the methods and frameworks applied to assess and mitigate risks associated with AI technologies in agriculture, including how these tools help identify hazards, reduce uncertainty, and support responsible innovation.

In this module, you will explore the industry standards and regulatory frameworks that guide the development and use of autonomous technologies in agriculture. You will examine how these standards shape safety, performance, and ethical implementation, and how they influence the integration of automation across the agricultural sector.

In this module, you will explore how autonomous technologies are reshaping agricultural labor markets, from shifting job roles to the creation of new skill demands. You will also consider how future AI advancements may influence agricultural systems and decision-making. Additionally, you will examine the issues that arise from bias in AI and agricultural data collection, and how these challenges affect the development and use of emerging technologies.