Advancing Dairy Management with Artificial Intelligence

Advancing Dairy Management with Artificial Intelligence

本课程是 Dairy Nutrition for Udder Success 专项课程的一部分

位教师：Isabella C.F.S Condotta

访问权限由 Coursera Learning Team 提供

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

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.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

6 项作业

授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Dairy Nutrition for Udder Success 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有4个模块

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.

涵盖的内容

13个视频6篇阅读材料2个作业1个讨论话题

13个视频总计73分钟

Course Overview 1分钟
Meet Your Instructor | Isabella C.F.S. Condotta 1分钟
Module 1 | Overview 2分钟
Definition of Artificial Intelligence 7分钟
History of Artificial Intelligence 9分钟
Artificial Intelligence in Various Industries 9分钟
Key Applications and Benefits of Artificial Intelligence in Agriculture 8分钟
Machine Learning and Computer Vision 7分钟
IoT and Data Analytics 7分钟
Wearable vs. Non-Wearable Sensors 4分钟
Artificial Intelligence Ethics and Responsible Use in Agriculture 7分钟
Artificial Intelligence's Impact on Farm Operations and Labor 7分钟
Module 1 | Wrap-up 2分钟

6篇阅读材料总计65分钟

Syllabus 15分钟
Learn More About Flexible Pathways 10分钟
Updating Your Profile 10分钟
Dairy Farming 2.0: Milking the Potential of Artificial Intelligence 10分钟
Invited Review: Examples and Opportunities for Artificial Intelligence (AI) in Dairy Farms. 10分钟
The Future of Dairy Farming: Embracing Automation, AI, and Sustainability 10分钟

2个作业总计60分钟

Module 1 | Knowledge Check 30分钟
Orientation Quiz 30分钟

1个讨论话题总计10分钟

Getting to Know Your Classmates 10分钟

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.

涵盖的内容

10个视频2篇阅读材料1个作业

10个视频总计50分钟

Module 2 | Overview 2分钟
Overview and Importance of Dairy Data Types 6分钟
Data Visualization for Dairy Decision-Making 6分钟
Traditional Data Collection Methods 6分钟
Modern Data Collection Technologies 5分钟
Data Management Practices 7分钟
Best Practices for Data Quality and Integrity 6分钟
The Lifecycle of Dairy Data: From Collection to Decision-Making 5分钟
Legal and Ethical Considerations in Data Collection 6分钟
Module 2 | Wrap-up 1分钟

2篇阅读材料总计20分钟

Agricultural Data Management and Sharing: Best Practices and Case Study 10分钟
Artificial Intelligence and Sensor Technologies in Dairy Livestock Export: Charting a Digital Transformation 10分钟

1个作业总计30分钟

Module 2 | Knowledge Check 30分钟

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.

涵盖的内容

10个视频1篇阅读材料1个作业

10个视频总计52分钟

Module 3 | Overview 2分钟
Fundamentals of Machine Learning 6分钟
Types of Machine Learning Models 6分钟
Supervised Learning Techniques 6分钟
Unsupervised Learning Techniques 7分钟
Reinforcement Learning Techniques 7分钟
Introduction to Deep Learning in Dairy Farming 7分钟
Applications of Deep Learning in Dairy Farming 6分钟
Machine Learning Process 5分钟
Module 3 | Wrap-Up 1分钟

1篇阅读材料总计10分钟

Machine Learning in Dairy Farms 10分钟

1个作业总计30分钟

Module 3 | Knowledge Check 30分钟

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!