Review: Precision livestock farming: building ‘digital representations’ to bring the animals closer to the farmer

Autor: T. Norton, C. Chen, M.L.V. Larsen, D. Berckmans
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Animal, Vol 13, Iss 12, Pp 3009-3017 (2019)
Druh dokumentu: article
ISSN: 1751-7311
17517311
DOI: 10.1017/S175173111900199X
Popis: Economic pressures continue to mount on modern-day livestock farmers, forcing them to increase herds sizes in order to be commercially viable. The natural consequence of this is to drive the farmer and the animal further apart. However, closer attention to the animal not only positively impacts animal welfare and health but can also increase the capacity of the farmer to achieve a more sustainable production. State-of-the-art precision livestock farming (PLF) technology is one such means of bringing the animals closer to the farmer in the facing of expanding systems. Contrary to some current opinions, it can offer an alternative philosophy to ‘farming by numbers’. This review addresses the key technology-oriented approaches to monitor animals and demonstrates how image and sound analyses can be used to build ‘digital representations’ of animals by giving an overview of some of the core concepts of PLF tool development and value discovery during PLF implementation. The key to developing such a representation is by measuring important behaviours and events in the livestock buildings. The application of image and sound can realise more advanced applications and has enormous potential in the industry. In the end, the importance lies in the accuracy of the developed PLF applications in the commercial farming system as this will also make the farmer embrace the technological development and ensure progress within the PLF field in favour of the livestock animals and their well-being.
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