Details
| Original language | English |
|---|---|
| Title of host publication | 11th European Conference on Precision Livestock Farming |
| Editors | Daniel Berckmans, Patrizia Tassinari, Daniele Torreggiani |
| Pages | 175-182 |
| Number of pages | 8 |
| ISBN (electronic) | 9791221067361 |
| Publication status | Published - 2024 |
| Event | 11th European Conference on Precision Livestock Farming - Bologna, Italy Duration: 9 Sept 2024 → 12 Sept 2024 |
Abstract
Precisely analysing animal behaviour data poses a complex challenge in modern livestock farming applications, particularly with regard to the evaluation of unwanted behaviour, e. g. cannibalism and injurious pecking in poultry flocks. The collection and analysis of behaviour data plays a crucial role in understanding animal behaviour and requires careful pre-processing of this data to enable meaningful interpretations. To meet this challenge, an advanced analysis tool has been developed. The main aim of this tool is to provide livestock owners with comprehensive access to high-quality animal behaviour data and significantly improve the efficiency of data analysis. Therefore, automated data pre-processing, employing the object observation method and visualisation, is utilised to enable livestock owners to effectively implement the insights gained. This facilitates the high-quality refinement and proactive optimisation of operational parameters within the context of farm animal husbandry management, consequently enabling advancements in sustainability regarding animal welfare. Due to the automatic and real-time capabilities of the analysis tool, it is conceivable that in future, livestock owners will also be able to receive immediate notifications on their mobile devices (e. g. via WhatsApp or SMS) about unwanted behaviour within the herd or flock, enabling them to react to potential problems as soon as possible. This analysis tool has already been proven in conventional poultry farming and also shows possible applications in other areas of livestock husbandry, such as pig and cattle farming. It opens up new possibilities for more precise and scientific analysis of animal behaviour data that can lead to an improvement of animal welfare aspects in livestock husbandry.
Keywords
- 24/7 animal tracking, artificial intelligence, digitalization, fattening turkey husbandry, monitoring the entire flock
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Animal Science and Zoology
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11th European Conference on Precision Livestock Farming. ed. / Daniel Berckmans; Patrizia Tassinari; Daniele Torreggiani. 2024. p. 175-182.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
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T1 - Optimising barn management
T2 - 11th European Conference on Precision Livestock Farming
AU - Raveendran, G.
AU - zu Westerhausen, S. Meyer
AU - Wurst, J.
AU - Bartels, T.
AU - Raabe, J.
AU - Homeyer, K.
AU - Lachmayer, R.
N1 - Publisher Copyright: © 2024 11th European Conference on Precision Livestock Farming. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Precisely analysing animal behaviour data poses a complex challenge in modern livestock farming applications, particularly with regard to the evaluation of unwanted behaviour, e. g. cannibalism and injurious pecking in poultry flocks. The collection and analysis of behaviour data plays a crucial role in understanding animal behaviour and requires careful pre-processing of this data to enable meaningful interpretations. To meet this challenge, an advanced analysis tool has been developed. The main aim of this tool is to provide livestock owners with comprehensive access to high-quality animal behaviour data and significantly improve the efficiency of data analysis. Therefore, automated data pre-processing, employing the object observation method and visualisation, is utilised to enable livestock owners to effectively implement the insights gained. This facilitates the high-quality refinement and proactive optimisation of operational parameters within the context of farm animal husbandry management, consequently enabling advancements in sustainability regarding animal welfare. Due to the automatic and real-time capabilities of the analysis tool, it is conceivable that in future, livestock owners will also be able to receive immediate notifications on their mobile devices (e. g. via WhatsApp or SMS) about unwanted behaviour within the herd or flock, enabling them to react to potential problems as soon as possible. This analysis tool has already been proven in conventional poultry farming and also shows possible applications in other areas of livestock husbandry, such as pig and cattle farming. It opens up new possibilities for more precise and scientific analysis of animal behaviour data that can lead to an improvement of animal welfare aspects in livestock husbandry.
AB - Precisely analysing animal behaviour data poses a complex challenge in modern livestock farming applications, particularly with regard to the evaluation of unwanted behaviour, e. g. cannibalism and injurious pecking in poultry flocks. The collection and analysis of behaviour data plays a crucial role in understanding animal behaviour and requires careful pre-processing of this data to enable meaningful interpretations. To meet this challenge, an advanced analysis tool has been developed. The main aim of this tool is to provide livestock owners with comprehensive access to high-quality animal behaviour data and significantly improve the efficiency of data analysis. Therefore, automated data pre-processing, employing the object observation method and visualisation, is utilised to enable livestock owners to effectively implement the insights gained. This facilitates the high-quality refinement and proactive optimisation of operational parameters within the context of farm animal husbandry management, consequently enabling advancements in sustainability regarding animal welfare. Due to the automatic and real-time capabilities of the analysis tool, it is conceivable that in future, livestock owners will also be able to receive immediate notifications on their mobile devices (e. g. via WhatsApp or SMS) about unwanted behaviour within the herd or flock, enabling them to react to potential problems as soon as possible. This analysis tool has already been proven in conventional poultry farming and also shows possible applications in other areas of livestock husbandry, such as pig and cattle farming. It opens up new possibilities for more precise and scientific analysis of animal behaviour data that can lead to an improvement of animal welfare aspects in livestock husbandry.
KW - 24/7 animal tracking
KW - artificial intelligence
KW - digitalization
KW - fattening turkey husbandry
KW - monitoring the entire flock
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BT - 11th European Conference on Precision Livestock Farming
A2 - Berckmans, Daniel
A2 - Tassinari, Patrizia
A2 - Torreggiani, Daniele
Y2 - 9 September 2024 through 12 September 2024
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