Advancing Dairy Management with Artificial Intelligence

Advancing Dairy Management with Artificial Intelligence

Instructor: Isabella C.F.S Condotta

Access provided by New York State Department of Labor

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

11 hours to complete

3 weeks at 3 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

11 hours to complete

3 weeks at 3 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Discover how AI technologies like IoT and data analytics can boost efficiency and productivity in dairy farming.
Learn to identify, collect, and manage dairy farming data using modern tools and software.
Gain the ability to use machine learning algorithms to analyze dairy farming data and enhance farming practices.

Details to know

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Assessments

6 assignments

Taught in English

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There are 4 modules in this course

By completing this course, you will gain a solid understanding of the basics of AI and its role in dairy systems. You will learn to identify key data types used in dairy analytics, such as production, health, and nutrition data. Additionally, you will explore AI applications in various aspects of dairy systems and discuss current AI applications in the dairy industry.

This course, led by Dr. Isabella Condotta, offers a unique opportunity to understand how AI can revolutionize dairy data analysis. You will explore AI models for health monitoring, sensor technologies, and predictive models. The course also covers biomarker profiling to assess cow health and nutrition, and a systems approach to nutritional management for optimal production. Join us to gain cutting-edge insights into AI applications in dairy systems and enhance your ability to make data-driven decisions for improved dairy management. This course is part of the College of ACES suite of online programs, including the graduate certificate, "Dairy Nutrition for Udder Success" that can be stacked toward an advanced degree in the College of ACES. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online @ aces.illinois.edu/online.

In the course orientation, you will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course. Then dive into the second part of this module which introduces key AI technologies and their applications in dairy farming. You will explore how data analysis and IoT are transforming dairy practices, along with the advantages and challenges of AI implementation.

What's included

13 videos6 readings2 assignments1 discussion prompt

13 videosTotal 72 minutes

Course Overview1 minutePreview module
Meet Your Instructor | Isabella C.F.S. Condotta1 minute
Module 1 | Overview1 minute
Definition of Artificial Intelligence7 minutes
History of Artificial Intelligence8 minutes
Artificial Intelligence in Various Industries8 minutes
Key Applications and Benefits of Artificial Intelligence in Agriculture8 minutes
Machine Learning and Computer Vision7 minutes
IoT and Data Analytics7 minutes
Wearable vs. Non-Wearable Sensors4 minutes
Artificial Intelligence Ethics and Responsible Use in Agriculture7 minutes
Artificial Intelligence's Impact on Farm Operations and Labor7 minutes
Module 1 | Wrap-up1 minute

6 readingsTotal 65 minutes

Syllabus15 minutes
Learn More About Flexible Pathways10 minutes
Updating Your Profile10 minutes
Dairy Farming 2.0: Milking the Potential of Artificial Intelligence10 minutes
Invited Review: Examples and Opportunities for Artificial Intelligence (AI) in Dairy Farms.10 minutes
The Future of Dairy Farming: Embracing Automation, AI, and Sustainability10 minutes

2 assignmentsTotal 60 minutes

Module 1 | Knowledge Check30 minutes
Orientation Quiz30 minutes

1 discussion promptTotal 10 minutes

Getting to Know Your Classmates10 minutes

This module focuses on the types of data collected in dairy farming and their significance. You will learn about traditional and modern methods of data collection, best practices for effective data management, and various tools and software used for managing dairy data. The importance of maintaining high-quality data in dairy farming will also be highlighted.

What's included

10 videos2 readings1 assignment

10 videosTotal 50 minutes

Module 2 | Overview1 minutePreview module
Overview and Importance of Dairy Data Types6 minutes
Data Visualization for Dairy Decision-Making 6 minutes
Traditional Data Collection Methods5 minutes
Modern Data Collection Technologies4 minutes
Data Management Practices6 minutes
Best Practices for Data Quality and Integrity6 minutes
The Lifecycle of Dairy Data: From Collection to Decision-Making4 minutes
Legal and Ethical Considerations in Data Collection6 minutes
Module 2 | Wrap-up1 minute

2 readingsTotal 20 minutes

Agricultural Data Management and Sharing: Best Practices and Case Study10 minutes
Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation10 minutes

1 assignmentTotal 30 minutes

Module 2 | Knowledge Check30 minutes

This module delves into the fundamentals of machine learning, including supervised and unsupervised learning techniques, and their relevance to dairy data. You will learn the steps to apply machine learning algorithms in dairy farming, with practical examples and real-world applications of AI in this field.

What's included

10 videos1 reading1 assignment

10 videosTotal 51 minutes

Module 3 | Overview1 minutePreview module
Fundamentals of Machine Learning5 minutes
Types of Machine Learning Models5 minutes
Supervised Learning Techniques 5 minutes
Unsupervised Learning Techniques6 minutes
Reinforcement Learning Techniques 6 minutes
Introduction to Deep Learning in Dairy Farming6 minutes
Applications of Deep Learning in Dairy Farming6 minutes
Machine Learning Process5 minutes
Module 3 | Wrap-Up1 minute

1 readingTotal 10 minutes

Machine Learning in Dairy Farms10 minutes

1 assignmentTotal 30 minutes

Module 3 | Knowledge Check30 minutes

This module explores predictive analytics and its importance in dairy farming. You will learn about building predictive models, decision support systems, and emerging AI trends in the field. At the conclusion of this module, you will be ready to complete the final assessment for the course and earn your Coursera certificate!