Automatic animal monitoring through Precision Livestock Farming (PLF) tools is a method to support farmers in achieving farm sustainability. The development of PLF systems requires close interdisciplinary collaboration between sector experts, farmers, animal scientists and bio-engineers. Labelling is a key activity in the development of reliable algorithm to be included in PLF tools. It is a set of procedures that animal experts must embark to precisely define and interpret detailed variations in measured field signals. This application note will describe the fundamental aspects of sound and image labelling and how this has enabled the engineering of useful automated PLF systems.

Application note : Labelling, a methodology to develop reliable algorithm in PLF / E. Tullo, I. Fontana, A. Diana, T. Norton, D. Berckmans, M. Guarino. - In: COMPUTERS AND ELECTRONICS IN AGRICULTURE. - ISSN 0168-1699. - 142(2017 Nov), pp. 424-428.

Application note : Labelling, a methodology to develop reliable algorithm in PLF

E. Tullo
Primo
;
I. Fontana
Secondo
;
M. Guarino
Ultimo
2017

Abstract

Automatic animal monitoring through Precision Livestock Farming (PLF) tools is a method to support farmers in achieving farm sustainability. The development of PLF systems requires close interdisciplinary collaboration between sector experts, farmers, animal scientists and bio-engineers. Labelling is a key activity in the development of reliable algorithm to be included in PLF tools. It is a set of procedures that animal experts must embark to precisely define and interpret detailed variations in measured field signals. This application note will describe the fundamental aspects of sound and image labelling and how this has enabled the engineering of useful automated PLF systems.
Algorithm; Image; Labelling; Precision Livestock Farming; Sound
Settore AGR/10 - Costruzioni Rurali e Territorio Agroforestale
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/525424
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