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Advancing Dairy Management with Artificial Intelligence

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Advancing Dairy Management with Artificial Intelligence

Ce cours fait partie de Spécialisation "Dairy Nutrition for Udder Success"

Instructeur : Isabella C.F.S Condotta

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

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.

Compétences que vous acquerrez

Catégorie : Emerging Technologies
Catégorie : Health Assessment
Catégorie : Data Analysis
Catégorie : Artificial Intelligence
Catégorie : Predictive Modeling
Catégorie : Analytics
Catégorie : Supervised Learning
Catégorie : Data Management
Catégorie : Predictive Analytics
Catégorie : Machine Learning Methods
Catégorie : Nutrition and Diet
Catégorie : Decision Support Systems
Catégorie : Data-Driven Decision-Making
Catégorie : Nutritional Assessment
Catégorie : Machine Learning
Catégorie : Internet Of Things
Catégorie : Data Collection

Détails à connaître

Certificat partageable

Ajouter à votre profil LinkedIn

Évaluations

6 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "Dairy Nutrition for Udder Success"

Lorsque vous vous inscrivez à ce cours, vous êtes également inscrit(e) à cette Spécialisation.

Apprenez de nouveaux concepts auprès d'experts du secteur
Acquérez une compréhension de base d'un sujet ou d'un outil
Développez des compétences professionnelles avec des projets pratiques
Obtenez un certificat professionnel partageable

Il y a 4 modules dans ce cours

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.

Inclus

13 vidéos6 lectures2 devoirs1 sujet de discussion

13 vidéosTotal 73 minutes

Course Overview1 minute
Meet Your Instructor | Isabella C.F.S. Condotta1 minute
Module 1 | Overview2 minutes
Definition of Artificial Intelligence7 minutes
History of Artificial Intelligence9 minutes
Artificial Intelligence in Various Industries9 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-up2 minutes

6 lecturesTotal 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 devoirsTotal 60 minutes

Module 1 | Knowledge Check30 minutes
Orientation Quiz30 minutes

1 sujet de discussionTotal 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.

Inclus

10 vidéos2 lectures1 devoir

10 vidéosTotal 50 minutes

Module 2 | Overview2 minutes
Overview and Importance of Dairy Data Types6 minutes
Data Visualization for Dairy Decision-Making 6 minutes
Traditional Data Collection Methods6 minutes
Modern Data Collection Technologies5 minutes
Data Management Practices7 minutes
Best Practices for Data Quality and Integrity6 minutes
The Lifecycle of Dairy Data: From Collection to Decision-Making5 minutes
Legal and Ethical Considerations in Data Collection6 minutes
Module 2 | Wrap-up1 minute

2 lecturesTotal 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 devoirTotal 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.

Inclus

10 vidéos1 lecture1 devoir

10 vidéosTotal 52 minutes

Module 3 | Overview2 minutes
Fundamentals of Machine Learning6 minutes
Types of Machine Learning Models6 minutes
Supervised Learning Techniques 6 minutes
Unsupervised Learning Techniques7 minutes
Reinforcement Learning Techniques 7 minutes
Introduction to Deep Learning in Dairy Farming7 minutes
Applications of Deep Learning in Dairy Farming6 minutes
Machine Learning Process5 minutes
Module 3 | Wrap-Up1 minute

1 lectureTotal 10 minutes

Machine Learning in Dairy Farms10 minutes

1 devoirTotal 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!

Inclus

11 vidéos6 lectures2 devoirs

11 vidéosTotal 62 minutes

Module 4 | Overview1 minute
Definition and Core Concepts4 minutes
Importance and Applications in Dairy Farming6 minutes
Steps for Building Predictive Models6 minutes
Tools for Predictive Modeling6 minutes
Overview of Decision Support Systems6 minutes
Implementing Decision Support Systems on Dairy Farms5 minutes
Balancing Efficiency with Animal Welfare4 minutes
The Future of Precision Systems20 minutes
Module 4 | Wrap-up2 minutes
Course Summary2 minutes

6 lecturesTotal 60 minutes

Understanding Predictive Analytics: Uses, Tools, and Techniques10 minutes
AI-Driven Decision Support Systems10 minutes
Dairy Processors Look to Optimize Operations with AI10 minutes
Congratulations!10 minutes
Stack Your Course Certificate toward Graduate Coursework10 minutes
Getting Your Course Certificate10 minutes

2 devoirsTotal 150 minutes

Module 4 | Knowledge Check30 minutes
Final Assessment120 minutes

Obtenez un certificat professionnel

Ajoutez ce titre à votre profil LinkedIn, à votre curriculum vitae ou à votre CV. Partagez-le sur les médias sociaux et dans votre évaluation des performances.

Instructeur

Isabella C.F.S Condotta

University of Illinois Urbana-Champaign

1 Cours543 apprenants

Offert par

University of Illinois Urbana-Champaign

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Foire Aux Questions

Yes! Although completion of the Coursera course alone is not credit-bearing, it is a required component of a graduate-level Canvas course that can be "stacked" toward advanced credentials such as an academic (transcriptable) graduate certificate or a degree. If you decide to pursue further education, the credits you earn from this course can be applied toward a formal academic program, provided that you meet all the requirements of admission to the certificate or degree.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.