Week 3: Decision Making in Dairy Farming
Introduction
- Overview of this week’s lecture
- Introduction of guest lecturer: Dr. De Vries
- Importance of decision making in modern dairy farming
Learning Objectives
By the end of this lecture, students should be able to:
- Understand the foundations of decision making in dairy production systems
- Explain how data and models support management decisions
- Interpret scientific literature related to dairy farm optimization
- Recognize opportunities for advanced analytics and AI in dairy farming
Background: Decision Making in Dairy Farming
Historical Roots
- Traditional experience-based decision making
- Role of observation and record keeping
- Transition toward data-driven management
Modern Decision Support Systems
- Sensor technologies
- Farm management software
- Integration of biological and economic data
Key Decision-Making Techniques
Economic Optimization
- Cost-benefit analysis
- Profit maximization
- Risk assessment
Statistical and Mathematical Modeling
- Regression models
- Dynamic models
- Bayesian approaches
- Dynamic programming
Data-Driven Approaches
- Machine learning
- Artificial intelligence
- Predictive analytics
Guest Lecture: Dr. De Vries
Focus Areas
- Replacement decisions in dairy herds
- Health monitoring and disease prediction
- Integration of sensor data
- Practical applications in farm management
Discussion Topics
- Translating research into practice
- Limitations of current techniques and models
- Future directions in dairy decision support
Advised reading
Students are encouraged to review the following articles:
Optimal replacement policies for dairy cows based on daily yield measurements
https://doi.org/10.3168/jds.2009-2209Bayesian integration of sensor information and a multivariate dynamic linear model for prediction of dairy cow mastitis
https://doi.org/10.3168/jds.2015-10060Invited Review: Examples and opportunities for artificial intelligence (AI) in dairy farms
https://doi.org/10.15232/aas.2022-02345
Supplementary Materials
The following files are available in the course root directory:
In-Class Activities
Interactive Session
- Q&A with Dr. De Vries
- Discussion of student questions