AI and Data Analytics in the Dairy Farms: A Scoping Review
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Summary
This summary is machine-generated.Data analytics and artificial neural networks are key for predicting bovine milk production. Future dairy farm decision-making tools should integrate these technologies with simulation methods for improved efficiency.
Area Of Science
- Agricultural Technology
- Data Science
- Animal Science
Background
- Rising global population necessitates increased bovine milk production.
- Advanced technologies like data analytics, big data, and sensors are crucial for efficient milk yield enhancement.
- A review of modern technologies and data analytics for milk prediction is timely to support dairy farm decision-making.
Purpose Of The Study
- To conduct a scoping review of modern technologies and data analytics methods for bovine milk production prediction.
- To identify trends in research scope, data types, analytical methods, and predictive models.
- To inform future research directions for enhanced dairy farm decision-making tools.
Main Methods
- Scoping review methodology applied to 151 relevant articles.
- Analysis of publication trends, study scope, data input types, and analytical techniques.
- Evaluation of machine learning models, particularly artificial neural networks and convolutional neural networks.
Main Results
- Studies are recent (average 5.95 years old), focusing on milk prediction (29%), lameness detection (26%), and mastitis detection (13%).
- Predictive analytics dominate (87%), with limited use of prescriptive analytics (3%). Historical data (70%) is preferred over real-time data (25%).
- Artificial neural networks (47%) and convolutional neural networks (24%) are prevalent, showing good accuracy but high variability. Simulation tools (4%) and stochastic models (5%) are underutilized.
Conclusions
- Artificial neural networks offer significant potential for data analytics in dairy farming.
- Integrating optimization-simulation methods with artificial neural networks can enhance future decision-making tools for bovine milk production.
- Further research should explore the combined power of advanced analytics and simulation for dairy farm management.

