Precision livestock farming : an overview of image and sound labelling

8 9 The shift in livestock farming methods from extensive to intensive poses a number of 10 significant challenges for animal welfare, environmental sustainability and food 11 security. Automatic animal monitoring may be one method of supporting farmers in 12 achieving farm sustainability. Precision Livestock Farming (PLF) can combine audio 13 and video information into automated tools that serve as early warning systems for the 14 farmer if health or welfare problems are detected. 15 16 First, reliable sounds and images that indicate poor animal welfare must be identified by 17 animal experts. Then, through careful labelling of sounds or images, it is possible to 18 create a complete database which is suitable for algorithm development. 19 20 Labelling is an activity which precisely defines and interprets detailed variations in 21 measured field signals. This study will describe sound and image labelling with the aim 22 of developing an automated tool. 23 24

[1]  Neville H Fletcher,et al.  A simple frequency-scaling rule for animal communication. , 2004, The Journal of the Acoustical Society of America.

[2]  Hongwei Xin,et al.  A real-time computer vision assessment and control of thermal comfort for group-housed pigs , 2008 .

[3]  Christopher M. Wathes.  The prospects for precision livestock farming. , 2010 .

[4]  T. Leroy,et al.  Automatic real-time monitoring of locomotion and posture behaviour of pregnant cows prior to calving using online image analysis , 2008 .

[5]  D. Berckmans,et al.  Application of a fully automatic analysis tool to assess the activity of broiler chickens with different gait scores , 2010 .

[6]  Daniel Berckmans,et al.  Automatic detection of lameness in dairy cattle - analyzing image parameters related to lameness. , 2008 .

[7]  Annamaria Costa,et al.  Real time monitoring of pig activity: classification and evaluation of pigs' behaviour. , 2007 .

[8]  Daniel Berckmans,et al.  Real-time monitoring tool for pig welfare , 2011 .

[9]  Jack P. C. Kleijnen,et al.  CASE STUDY: OPTIMAL FACILITY ALLOCATION IN A ROBOTIC MILKING BARN , 2002 .

[10]  K. Shea.  Antibiotic resistance: what is the impact of agricultural uses of antibiotics on children's health? , 2003, Pediatrics.

[11]  David J. Parsons,et al.  Simultaneous Monitoring and Control of Pig Growth and Ammonia Emissions , 2012 .

[12]  Jean-Marie Aerts,et al.  Dynamic Data-based Modelling of Heat Production and Growth of Broiler Chickens: Development of an Integrated Management System , 2003 .

[13]  Irenilza de Alencar Nääs,et al.  Real time computer stress monitoring of piglets using vocalization analysis , 2008 .

[14]  J. Aerts,et al.  Cough sound analysis to identify respiratory infection in pigs , 2008 .

[15]  Annamaria Costa,et al.  Heat stress assessment by swine related vocalizations , 2013 .

[16]  Jean-Marie Aerts,et al.  Labeling of cough data from pigs for on-line disease monitoring by sound analysis , 2005, MAVEBA.

[17]  D Berckmans,et al.  Computer-assisted image analysis to quantify daily growth rates of broiler chickens , 2003, British poultry science.

[18]  D. Candiani,et al.  A Combination of Behavioral and Physiological Indicators for Assessing Pig Welfare on the Farm , 2008, Journal of applied animal welfare science : JAAWS.

[19]  J. Takkinen,et al.  Zoonoses in the European Union: origin, distribution and dynamics - the EFSA-ECDC summary report 2009. , 2011, Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin.

[20]  J. Acar,et al.  Consequences of bacterial resistance to antibiotics in medical practice. , 1997, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[21]  Daniel Berckmans,et al.  A COMPUTER VISION METHOD FOR ON-LINE BEHAVIORAL QUANTIFICATION OF INDIVIDUALLY CAGED POULTRY , 2006 .

[22]  Dries Berckmans,et al.  Dust concentration variation in relation to animal activity in a pig barn , 2009 .

[23]  Vasileios Exadaktylos,et al.  The influence of respiratory disease on the energy envelope dynamics of pig cough sounds , 2009 .

[24]  Daniel Berckmans,et al.  Automatic detection of lameness in dairy cattle-Vision-based trackway analysis in cow's locomotion , 2008 .

[25]  J. Aerts,et al.  Active control of the growth trajectory of broiler chickens based on online animal responses. , 2003, Poultry science.

[26]  R Piccinini,et al.  Cough sound description in relation to respiratory diseases in dairy calves. , 2010, Preventive veterinary medicine.