Precision Livestock Farming: A Suite of Electronic Systems to Ensure the Application of Best Practice Management on Livestock Farms

Abstract The sophisticated global market place for livestock products demands safe, uniform, cheap, and environmentally–and welfare-friendly products. However, best-practice management procedures are not always implemented on livestock farms to ensure that these market requirements are consistently satisfied. Therefore, improvements are needed in the way livestock farms are managed. Information-based and electronically-controlled livestock production systems are needed to ensure that the best of available knowledge can be readily implemented on farms. New technologies introduced on farms as part of Precision Livestock Farming (PLF) systems will have the capacity to activate livestock management methods that are more responsive to market signals. PLF technologies encompass methods for measuring electronically the critical components of the system that indicate efficiency of resource use, software technologies aimed at interpreting the information captured, and controlling processes to ensure optimum efficiency of resource use and animal productivity. These envisaged real-time monitoring and control systems should dramatically improve production efficiency of livestock enterprises. However, as some of the components of PLF systems are not yet sufficiently developed to be readily implemented, further research and development is required. In addition, an overall strategy for the adoption and commercial exploitation of PLF systems needs to be developed in collaboration with private companies. This article outlines the potential role PLF can play in ensuring that existing and new knowledge is implemented effectively on farms to improve returns to livestock producers, quality of products, welfare of animals and sustainability of the farm environment.

[1]  E Sliva,et al.  Development of a Prototype Sensor for Measuring Feed Disappearance in Livestock Buildings , 2007 .

[2]  Daniel L. Schmoldt,et al.  Precision agriculture and information technology , 2001 .

[3]  P. Pardey,et al.  Research returns redux: a meta-analysis of the returns to agricultural R&D , 2000 .

[4]  Hongwei Xin,et al.  Real-time Assessment of Swine Thermal Comfort by Computer Vision , 2002 .

[5]  Brigitte Petersen,et al.  Computerised food safety monitoring in animal production , 2002 .

[6]  R. Artmann Sensor systems for milking robots , 1997 .

[7]  E. J. van Henten,et al.  An Autonomous Robot for De-leafing Cucumber Plants grown in a High-wire Cultivation System , 2006 .

[8]  Stephen J. Searle,et al.  Weight estimation using image analysis and statistical modelling: a preliminary study , 2007 .

[9]  François Guerrin Simulation of stock control policies in a two-stage production system: Application to pig slurry management involving multiple farms , 2004 .

[10]  M Heinonen,et al.  The effects of health classification and housing and management of feeder pigs on performance and meat inspection findings of all-in-all-out swine-finishing herds. , 2001, Preventive veterinary medicine.

[11]  Irenilza de Alencar Nääs,et al.  Applications of Mechatronics to Animal Production , 2002 .

[12]  C. Lokhorst,et al.  An Expert System for Monitoring the Daily Production Process in Aviary Systems for Laying Hens , 1996 .

[13]  D. L. Rutley,et al.  Field Evaluation of a Prototype Sensor for Measuring Feed Disappearance in Livestock Buildings , 2009 .

[14]  J. V. Stafford,et al.  Implementing precision agriculture in the 21st century. , 2000 .

[15]  Robin C. Dobos,et al.  A decision tool to help in feed planning on dairy farms , 2004, Environ. Model. Softw..

[16]  D. Berckmans,et al.  Applications of process control techniques in poultry production , 2001 .

[17]  J. Pomar,et al.  A knowledge-based decision support system to improve sow farm productivity , 2005, Expert Syst. Appl..

[18]  Thomas Banhazi,et al.  User-friendly air quality monitoring system , 2009 .

[19]  A. R. Frost,et al.  ENVIRONMENTAL DESIGN AND MANAGEMENT FOR LIVESTOCK IN THE 21ST CENTURY: RESOLVING CONFLICTS BY INTEGRATED SOLUTIONS , 2001 .

[20]  Dimitrios Moshou,et al.  Neural recognition systems for swine cough , 2001 .

[21]  Wim J Eradus,et al.  Animal identification and monitoring , 1999 .

[22]  Albert Sundrum,et al.  Critical control points for on-farm assessment of pig housing ☆ , 2001 .

[23]  T M Banhazi,et al.  Identification of risk factors for sub-optimal housing conditions in Australian piggeries: Part 3. Environmental parameters. , 2008, Journal of agricultural safety and health.

[24]  T M Banhazi,et al.  Identification of risk factors for sub-optimal housing conditions in Australian piggeries: Part 2. Airborne pollutants. , 2008, Journal of agricultural safety and health.

[25]  Rony Geers Electronic monitoring of farm animals: a review of research and development requirements and expected benefits , 1994 .

[26]  Dries Berckmans,et al.  An intelligent alarm for early detection of swine epidemics based on neural networks (vol 44, pg 167, 2001) , 2001 .

[27]  Sidney Cox,et al.  Precision livestock farming. , 2003 .

[28]  Peter Wynn,et al.  Factors limiting the performance of growing pigs in commercial environments. , 2001 .

[29]  R W Bottcher,et al.  An environmental nuisance: odor concentrated and transported by dust. , 2001, Chemical senses.

[30]  Nick Sigrimis,et al.  Identifying design parameters for fuzzy control of staged ventilation control systems , 2001 .

[31]  Anders Ringgaard Kristensen,et al.  Modelling the drinking patterns of young pigs using a state space model , 2005 .

[32]  Dieter Ordolff Introduction of electronics into milking technology , 2001 .

[33]  Reyer Zwiggelaar,et al.  Inspection of teats by colour image analysis for automatic milking systems , 1996 .

[34]  K. Maatje,et al.  Cow status monitoring (health and oestrus) using detection sensors , 1997 .

[35]  J.M.A. Snijders,et al.  Prevention of human diseases by an integrated quality control system , 2002 .

[36]  T M Banhazi,et al.  Identification of risk factors for sub-optimal housing conditions in Australian piggeries: Part 1. Study justification and design. , 2008, Journal of agricultural safety and health.

[37]  D. Ordolff,et al.  Experiments on automatic preparation of milk samples in connection with milking robots , 1997 .

[38]  Christine Aubry,et al.  Garanties de qualité dans les exploitations agricoles : exemple de l’élaboration du référentiel Quali’Terre® en Picardie , 2005 .

[39]  Thomas Banhazi,et al.  APPLICABLE TECHNOLOGIES FOR CONTROLLED ENVIRONMENT SYSTEMS (CES) IN LIVESTOCK PRODUCTION , 2002 .

[40]  P. Holst,et al.  Recording and on-farm evaluations and monitoring: breeding and selection , 1999 .

[41]  M. J. Street A pulse-code modulation system for automatic animal identification , 1979 .

[42]  Gustavo Belforte,et al.  Robot Design and Testing for Greenhouse Applications , 2006 .

[43]  John L. Barnett,et al.  The welfare of extensively managed dairy cattle: A review , 1995 .

[44]  J. Tukey More honest foundations for data analysis , 1997 .

[45]  R. L. Korthals,et al.  Monitoring Growth and Statistical Variation of Grow-Finish Swine , 2001 .

[46]  Wim J Eradus,et al.  Future developments on devices for animal radiofrequency identification , 1999 .

[47]  Ruud B.M. Huirne,et al.  A knowledge documentation methodology for knowledge-based system development: an example in animal health management , 1999 .

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

[49]  J. Mullen,et al.  Farm Management In The 21st Century , 2002 .

[50]  Toby Mottram,et al.  Automatic monitoring of the health and metabolic status of dairy cows , 1997 .

[51]  Lahsen Ababouch,et al.  Fish Safety and Quality from the Perspective of Globalization , 2004 .

[52]  T M Banhazi,et al.  Identification of risk factors for sub-optimal housing conditions in Australian piggeries: Part 4. Emission factors and study recommendations. , 2008, Journal of agricultural safety and health.

[53]  Jean-Marie Aerts,et al.  AP—Animal Production Technology: Recognition System for Pig Cough based on Probabilistic Neural Networks , 2001 .

[54]  Pavan Sikka,et al.  Virtual fencing applications: Implementing and testing an automated cattle control system , 2007, Computers and Electronics in Agriculture.

[55]  Noboru Noguchi,et al.  Development of a master-slave robot system for farm operations , 2004 .

[56]  Daniel Berckmans Preface: Precision livestock farming (PLF) , 2008 .

[57]  J. Noordhuizen,et al.  Epidemiology and quality assurance: applications at farm level. , 1999, Preventive veterinary medicine.

[58]  Irenilza de Alencar Nääs Precision Animal Production , 2001 .

[59]  Anders Ringgaard Kristensen,et al.  A model for monitoring the condition of young pigs by their drinking behaviour , 2005 .

[60]  Mark Dunn,et al.  Managing Growth Variability through Implementation of Precision Livestock Farming Systems , 2007 .

[61]  Daniel Berckmans,et al.  Review of Issues Related to Heat Stress in Intensively Housed Pigs , 2008 .

[62]  Robert G. Radwin,et al.  Automated job analysis using upper extremity biomechanical data and template matching , 2000 .

[63]  J. A. Marchant,et al.  Monitoring pig growth using a prototype imaging system , 1999 .

[64]  Mogens Blanke,et al.  Spectral Signatures of Surface Materials in Pig Buildings , 2006 .

[65]  Thomas Banhazi,et al.  Identification of the risk factors for high airborne particle concentrations in broiler buildings using statistical modelling , 2008 .