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 videos Total 45 minutes

Course Introduction 2 minutes
Meet Your Instructor: Dr. Salah Issa 1 minute
Module 1 Introduction 1 minute
Introduction to Agricultural Safety 3 minutes
Characteristics of Agriculture 4 minutes
History of Agricultural Safety 7 minutes
Ag Safety Today 6 minutes
Lesson 1.2 Objectives 1 minute
Overview of Autonomy for Agriculture 9 minutes
Research on Environmental Perception 5 minutes
Research on Risk Assessment & Ergonomics 5 minutes
Lesson 1.2 Key Takeaways 2 minutes

4 readings Total 115 minutes

Syllabus 10 minutes
University of Illinois' ACES Online Programs 10 minutes
Research Study on Agricultural Incidents Over Time 30 minutes
Literature Review on Safety of Automated Ag. Machineries 65 minutes

1 assignment Total 30 minutes

Module 1: Knowledge Check 30 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 videos Total 55 minutes

Module 2: Introduction 1 minute
Lesson 2.1 Objectives 2 minutes
Purpose of Risk Assessment 8 minutes
Risk Assessment Methods 5 minutes
Failure Mode and Effects Analysis 6 minutes
Other Quantitative Methods: HARA, Monte Carlo, & HAZWOP 4 minutes
Failure Path Risk Assessment Methods 5 minutes
Lesson 2.1 Takeaways 2 minutes
Lesson 2.2 Objectives 1 minute
Research Methodology 3 minutes
Conclusions: Use & Effectiveness of Risk Assessment Methods 4 minutes
Risk Assessment: Advantages and Limitations 9 minutes
Improving Risk Assessment in Ag Autonomous Machinery 5 minutes
Lesson 2.2 Takeaways 2 minutes

2 readings Total 105 minutes

Engineering Safety in Emerging Agricultural Machinery 45 minutes
Survey on Limitations of Risk Assessments for Autonomous Ag. Machinery 60 minutes

1 assignment Total 30 minutes

Module 2: Knowledge Check 30 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 videos Total 49 minutes

Module 3 Introduction 1 minute
Lesson 3.1 Objectives 1 minute
Engineering Standards 8 minutes
ISO 18497 5 minutes
ISO 25119 2 minutes
ISO 12100 2 minutes
Other Applicable Standards 4 minutes
Lesson 3.1 Takeaways 2 minutes
Learning Objectives 2 minutes
Overview of Case Study 2 minutes
Case Study: ISO 18497 8 minutes
Case Study: ISO 12100 9 minutes
Take Aways 2 minutes

2 readings Total 85 minutes

Risk Assessment Standards: Needs & Recommendations 40 minutes
Evaluating Risk Assessment Standards on a Small Autonomous Ag. Machine 45 minutes

1 assignment Total 30 minutes

Module 3: Knowledge Check 30 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 videos Total 83 minutes

Module 4 Introduction 1 minute
Evolution of Autonomy in Agriculture and the Importance of Safety 10 minutes
AI in Agriculture: Safety Concerns 11 minutes
AI in Agriculture: Social Implications 11 minutes
AI in Agriculture: Human Factors 5 minutes
Current Issues in AI Safety in Agriculture 8 minutes
Lesson 4.2 Objectives 1 minute
What is AI and How can it go Wrong? 4 minutes
Privacy and Surveillance Concerns 6 minutes
Bias & Discrimination: Part One 7 minutes
Bias & Discrimination Part Two 8 minutes
Other Ethical Considerations 10 minutes
Course Summary 1 minute

3 readings Total 90 minutes

Identifying Key Areas for Agricultural Safety Research 50 minutes
Case Study: California Objects to Autonomous Ag. Equipment on the Field 25 minutes
Congratulations & Getting Your Certificate 15 minutes

2 assignments Total 90 minutes

Module 4: Knowledge Check 30 minutes
Final Assessment 60 minutes

Instructor

Salah Issa

University of Illinois Urbana-Champaign

1 Course 81 learners

Offered by

University of Illinois Urbana-Champaign

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