Safety & Community Implications of AI in Agriculture

Safety & Community Implications of AI in Agriculture

Instructor: Salah Issa

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand the safety challenges, risks, and industry standards shaping the use of autonomous and AI-driven technologies in agriculture.
Explore how risk assessment methods and current research contribute to safer machine design, AI systems, and agricultural work environments.
Examine the broader impacts of automation and AI on agricultural labor markets, future technologies, and issues such as data bias.

Skills you'll gain

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There are 4 modules in this course

The agriculture industry is on the verge of a digital revolution that will transform various farming practices, from land preparation to harvesting and pest control. This revolution includes the use of advanced machinery like driverless tractors and harvesters, as well as automated systems for milking and feeding livestock. The ongoing technological advancements and integration of automation have the potential to profoundly affect both the economic and social aspects of rural communities. This includes the creation of new jobs and the displacement of traditional production roles. While automation and robotics hold promise in addressing sustainability challenges, their impact on the agricultural workforce remains uncertain. The interaction between humans and robots in agriculture gives rise to concerns about occupational safety and health that require attention for the well-being of the workforce.

Learn about the course by reviewing the course syllabus and meeting your instructor. Then, dive into module 1, where we will examine the unique challenges and risks that contribute to high rates of occupational injuries in agriculture, from environmental hazards to physically demanding work conditions. You will also explore emerging research on the safety of autonomous machinery, including how automation is reshaping risk factors, prevention strategies, and the future of agricultural work. By the end of the module, you will understand both the longstanding safety issues facing farm workers and the new considerations introduced by autonomous technologies.

What's included

12 videos4 readings1 assignment

12 videosTotal 45 minutes

Course Introduction2 minutes
Meet Your Instructor: Dr. Salah Issa1 minute
Module 1 Introduction1 minute
Introduction to Agricultural Safety3 minutes
Characteristics of Agriculture4 minutes
History of Agricultural Safety7 minutes
Ag Safety Today6 minutes
Lesson 1.2 Objectives1 minute
Overview of Autonomy for Agriculture9 minutes
Research on Environmental Perception5 minutes
Research on Risk Assessment & Ergonomics5 minutes
Lesson 1.2 Key Takeaways2 minutes

4 readingsTotal 115 minutes

Syllabus10 minutes
University of Illinois' ACES Online Programs10 minutes
Research Study on Agricultural Incidents Over Time30 minutes
Literature Review on Safety of Automated Ag. Machineries65 minutes

1 assignmentTotal 30 minutes

Module 1: Knowledge Check30 minutes

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.

What's included

14 videos2 readings1 assignment

14 videosTotal 55 minutes

Module 2: Introduction1 minute
Lesson 2.1 Objectives2 minutes
Purpose of Risk Assessment8 minutes
Risk Assessment Methods5 minutes
Failure Mode and Effects Analysis6 minutes
Other Quantitative Methods: HARA, Monte Carlo, & HAZWOP4 minutes
Failure Path Risk Assessment Methods5 minutes
Lesson 2.1 Takeaways2 minutes
Lesson 2.2 Objectives1 minute
Research Methodology3 minutes
Conclusions: Use & Effectiveness of Risk Assessment Methods4 minutes
Risk Assessment: Advantages and Limitations9 minutes
Improving Risk Assessment in Ag Autonomous Machinery 5 minutes
Lesson 2.2 Takeaways2 minutes

2 readingsTotal 105 minutes

Engineering Safety in Emerging Agricultural Machinery45 minutes
Survey on Limitations of Risk Assessments for Autonomous Ag. Machinery60 minutes

1 assignmentTotal 30 minutes

Module 2: Knowledge Check30 minutes

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.

What's included

13 videos2 readings1 assignment

13 videosTotal 49 minutes

Module 3 Introduction1 minute
Lesson 3.1 Objectives1 minute
Engineering Standards8 minutes
ISO 184975 minutes
ISO 251192 minutes
ISO 121002 minutes
Other Applicable Standards4 minutes
Lesson 3.1 Takeaways2 minutes
Learning Objectives2 minutes
Overview of Case Study2 minutes
Case Study: ISO 184978 minutes
Case Study: ISO 121009 minutes
Take Aways2 minutes

2 readingsTotal 85 minutes

Risk Assessment Standards: Needs & Recommendations40 minutes
Evaluating Risk Assessment Standards on a Small Autonomous Ag. Machine45 minutes

1 assignmentTotal 30 minutes

Module 3: Knowledge Check30 minutes

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.

What's included

13 videos3 readings2 assignments

13 videosTotal 83 minutes

Module 4 Introduction1 minute
Evolution of Autonomy in Agriculture and the Importance of Safety10 minutes
AI in Agriculture: Safety Concerns11 minutes
AI in Agriculture: Social Implications11 minutes
AI in Agriculture: Human Factors5 minutes
Current Issues in AI Safety in Agriculture8 minutes
Lesson 4.2 Objectives1 minute
What is AI and How can it go Wrong? 4 minutes
Privacy and Surveillance Concerns6 minutes
Bias & Discrimination: Part One7 minutes
Bias & Discrimination Part Two8 minutes
Other Ethical Considerations10 minutes
Course Summary1 minute

3 readingsTotal 90 minutes

Identifying Key Areas for Agricultural Safety Research50 minutes
Case Study: California Objects to Autonomous Ag. Equipment on the Field25 minutes
Congratulations & Getting Your Certificate15 minutes

2 assignmentsTotal 90 minutes

Module 4: Knowledge Check30 minutes
Final Assessment60 minutes

Instructor

Salah Issa

University of Illinois Urbana-Champaign

1 Course129 learners

Offered by

University of Illinois Urbana-Champaign

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