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Predictive Models of Dairy Cow Thermal State: A Review from a Technological Perspective
Soraia F Neves1,2, Mónica C F Silva1,2, João M Miranda1,2
1CEFT-Transport Phenomena Research Centre, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal.
Veterinary Sciences
|August 25, 2022
Summary
Dairy cows need environmental controls to prevent heat stress, but these systems consume valuable resources. Predictive models can optimize system use by anticipating animal thermal states, improving efficiency and sustainability on dairy farms.
Area of Science:
- Agricultural Science
- Animal Science
- Environmental Science
Background:
- Dairy cattle are highly susceptible to heat stress due to their metabolic rate for milk production.
- Increasing global temperatures and dairy production necessitate efficient environmental control systems for farms.
- Current systems' high energy and water use pose economic and resource challenges.
Purpose of the Study:
- To review predictive modeling approaches for optimizing dairy farm environmental control systems.
- To explore how to anticipate and manage heat stress in dairy cattle more effectively.
- To bridge the gap between predictive modeling and practical farm management.
Main Methods:
- Review of bioclimatic indexes for predicting heat stress.
- Analysis of machine learning algorithms for thermal state prediction.
- Examination of mechanistic models for environmental control optimization.
Main Results:
- Identified three key predictive modeling approaches: bioclimatic indexes, machine learning, and mechanistic models.
- Highlighted the potential of sensor data and algorithms to anticipate animal thermal states.
- Demonstrated the feasibility of integrating predictive models into farm management systems.
Conclusions:
- Predictive models offer a pathway to enhance the efficiency of dairy farm environmental control systems.
- Timely activation and deactivation of systems based on predicted needs can conserve resources.
- Integrating advanced modeling techniques is crucial for sustainable dairy production under climate change.
Keywords:
bioclimatic indexescow thermal statedairy cowheat stressmachine learningmechanistic modelsnumerical modelpredictive modelMore Related Videos
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