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

作者：Tullo Emanuela; Fontana Ilaria^*; Diana Alessia; Norton Tomas; Berckmans Daniel; Guarino Marcella

来源：Computers and Electronics in Agriculture, 2017, 142: 424-428.

DOI：10.1016/j.compag.2017.09.030

• Labelling
• Sound
• Image
• Algorithm
• Precision Livestock Farming

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.

• 出版日期2017-11