the shift in livestock farming methods from extensive to intensive poses a number of significant challenges for animal welfare, environmental sustainability and food security. automatic animal monitoring may be one method of supporting farmers in achieving farm sustainability. Precision Livestock Farming (PLF) can combine audio and video information into automated tools that serve as early warning systems for the farmer if health or welfare problems are detected. First, reliable sounds and images that indicate poor animal welfare must be identified by animal experts. then, through careful labelling of sounds or images, it is possible to create a complete database which is suitable for algorithm development. Labelling is an activity which precisely defines and interprets detailed variations in measured field signals. This study will describe sound and image labelling with the aim of developing an automated tool.

Precision livestock farming : an overview of image and sound labelling / E. Tullo, I. Fontana, M. Guarino - In: Precision Livestock Farming '13 / [a cura di] D. Berckmans, J. Vandermeulen. - Leuven : KU Leuven, 2013 Sep. - ISBN 978-90-8826-333-0. - pp. 30-38 (( Intervento presentato al 6. convegno European Conference on Precision Livestock Farming 2013 : (PLF) EC-PLF tenutosi a Leuven nel 2013.

Precision livestock farming : an overview of image and sound labelling

E. Tullo
Primo
;
I. Fontana
Secondo
;
M. Guarino
Ultimo
2013

Abstract

the shift in livestock farming methods from extensive to intensive poses a number of significant challenges for animal welfare, environmental sustainability and food security. automatic animal monitoring may be one method of supporting farmers in achieving farm sustainability. Precision Livestock Farming (PLF) can combine audio and video information into automated tools that serve as early warning systems for the farmer if health or welfare problems are detected. First, reliable sounds and images that indicate poor animal welfare must be identified by animal experts. then, through careful labelling of sounds or images, it is possible to create a complete database which is suitable for algorithm development. Labelling is an activity which precisely defines and interprets detailed variations in measured field signals. This study will describe sound and image labelling with the aim of developing an automated tool.
Sound ; image ; labelling ; algorithm ; Precision Livestock Farming
Settore AGR/10 - Costruzioni Rurali e Territorio Agroforestale
KU Leuven
Katholieke Universiteit Leuven
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/228259
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