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Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods
Éva Hajnal1, Levente Kovács2, Gergely Vakulya1
1Alba Regia Technical Faculty, Óbuda University, 1034 Budapest, Hungary.
Sensors (Basel, Switzerland)
|September 23, 2022
Summary
Continuous monitoring of dairy cows using rumen bolus sensors and artificial intelligence can improve animal welfare and farm economics. This technology offers lifelong monitoring for better animal husbandry practices.
Area of Science:
- Animal Science
- Agricultural Engineering
- Data Science
Background:
- Increasing dairy farm animal numbers and reducing labor costs are global trends.
- Balancing economic viability with animal welfare necessitates continuous animal monitoring.
- Rumen bolus sensors offer a promising solution for lifelong animal surveillance.
Purpose of the Study:
- To review rumen bolus sensor techniques for continuous dairy animal monitoring.
- To evaluate data transmission, processing, and artificial intelligence applications in this field.
- To provide recommendations for hardware and data analysis technologies.
Main Methods:
- Literature review focused on rumen bolus sensor technology.
- Analysis of applied sensory modalities, data transmission, and processing techniques.
- Prioritization of artificial intelligence methods in data analysis.
Main Results:
- Rumen bolus sensors enable lifelong monitoring of dairy animals.
- Artificial intelligence significantly enhances data analysis capabilities.
- Data processing involves at least four distinct levels, from measurement to integrated analysis.
Conclusions:
- Continuous monitoring via rumen bolus sensors is key to addressing conflicting demands in dairy farming.
- Effective implementation requires modern computer science and intelligent data analysis at all processing levels.
- This integrated approach can lead to significant advancements in economical animal husbandry and welfare.
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