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

delete2017-11-01
delete23
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E
Emanuela Tullo
A
Alessia Diana
T
Tomás Norton
D
Daniël Berckmans
M
M. Guarino
DOI:10.1016/j.compag.2017.09.030delete
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Abstract

Abstract

En 中文
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.
Keywords:
Labelling
Sound
Image
Algorithm
Precision Livestock Farming
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Journal

Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
IF:
8.9
Papers:
9.9K
Citations:
4.8W

Organization

T
Teagasc
Scholars:
3.3K
Papers: 3.9K
Citations: 7.8K
U
University of Milan
Scholars:
5.1W
Papers: 3.9W
Citations: 5.0W