Precision Livestock Farming: The Opportunities in Poultry Sector

: Precision management of animals using technology is one innovation in agriculture that has the potential to revolutionize whole livestock industries including the poultry sector. Limited research in precision livestock farming (PLF) in the poultry production has been so far conducted and most of them are conducted within the past 5-10 years. The PLF collects real-time data from individual or group of animals or birds using sensor technology, and involves the multidisciplinary team approach to give it a reality. Poultry scientists play a central role in executing poultry PLF with collaboration from agri-engineers and computer scientists for the type of measurements to be made on biological or environmental variables. A real-time collection of environmental, behavioral and health data from bird grow-out facilities can be a strong tool for developing daily action plans for poultry management. Unlike other livestock farming, the attributes of poultry rearing such as a closed housing system and vertically integrated industry provides a greater opportunity for poultry sector to adopt technology-based farming for enhanced production output.

[1]  C. Coon,et al.  Effects of dietary amino acid levels and ambient temperature on mixed muscle protein turnover in Pectoralis major during finisher feeding period in two broiler lines. , 2020, Journal of animal physiology and animal nutrition.

[2]  Girish Chowdhary,et al.  Agricultural robotics research applicable to poultry production: A review , 2020, Comput. Electron. Agric..

[3]  João Batista Freire de Souza,et al.  Estimating sensible heat loss in laying hens through thermal imaging , 2019, Comput. Electron. Agric..

[4]  Sabine G. Gebhardt-Henrich,et al.  A Systematic Review of Precision Livestock Farming in the Poultry Sector: Is Technology Focussed on Improving Bird Welfare? , 2019, Animals : an open access journal from MDPI.

[5]  Daniel Berckmans,et al.  Development of sound-based poultry health monitoring tool for automated sneeze detection , 2019, Comput. Electron. Agric..

[6]  Marcelo Teixeira,et al.  Generating action plans for poultry management using artificial neural networks , 2019, Comput. Electron. Agric..

[7]  Li Yang,et al.  Computational Fluid Dynamics aided investigation and optimization of a tunnel-ventilated poultry house in China , 2019, Comput. Electron. Agric..

[8]  J. Tetens,et al.  Review of Sensor Technologies in Animal Breeding: Phenotyping Behaviors of Laying Hens to Select Against Feather Pecking , 2019, Animals : an open access journal from MDPI.

[9]  Xiuqin Rao,et al.  Behavior-induced health condition monitoring of caged chickens using binocular vision , 2019, Comput. Electron. Agric..

[10]  M. Guarino,et al.  A pilot study to detect coccidiosis in poultry farms at early stage from air analysis , 2018, Biosystems Engineering.

[11]  Vasileios Exadaktylos,et al.  Real-time monitoring of broiler flock's welfare status using camera-based technology , 2018, Biosystems Engineering.

[12]  M. Zuidhof,et al.  Energy partitioning by broiler breeder pullets in skip-a-day and precision feeding systems , 2018, Poultry science.

[13]  M. Zuidhof,et al.  Precision feeding: Innovative management of broiler breeder feed intake and flock uniformity , 2017, Poultry science.

[14]  Daniel Berckmans,et al.  Appropriate data visualisation is key to Precision Livestock Farming acceptance , 2017, Comput. Electron. Agric..

[15]  A. Aydin,et al.  Development of an early detection system for lameness of broilers using computer vision , 2017, Comput. Electron. Agric..

[16]  A. Aydin,et al.  Using 3D vision camera system to automatically assess the level of inactivity in broiler chickens , 2017, Comput. Electron. Agric..

[17]  D. J. Moura,et al.  Positioning of sensors for control of ventilation systems in broiler houses: a case study , 2017 .

[18]  D Berckmans,et al.  Association between environmental predisposing risk factors and leg disorders in broiler chickens. , 2017, Journal of animal science.

[19]  H. Xin,et al.  Emissions of ammonia, carbon dioxide and particulate matter from cage-free layer houses in California , 2017 .

[20]  I Halachmi,et al.  Editorial: Precision livestock farming: a 'per animal' approach using advanced monitoring technologies. , 2016, Animal : an international journal of animal bioscience.

[21]  W. Zheng,et al.  Design and performance evaluation of the upgraded portable monitoring unit for air quality in animal housing , 2016, Comput. Electron. Agric..

[22]  Daniel Berckmans,et al.  Using sound technology to automatically detect the short-term feeding behaviours of broiler chickens , 2016, Comput. Electron. Agric..

[23]  Enrique Fernández-Blanco,et al.  Early warning in egg production curves from commercial hens: A SVM approach , 2016, Comput. Electron. Agric..

[24]  Marcella Guarino,et al.  An innovative approach to predict the growth in intensive poultry farming , 2015, Comput. Electron. Agric..

[25]  K. Sravanth Goud,et al.  Internet based Smart Poultry Farm , 2015 .

[26]  M. Zuidhof,et al.  Effects of broiler breeder management on pullet body weight and carcass uniformity. , 2015, Poultry science.

[27]  Irenilza de Alencar Nääs,et al.  Image analysis method to evaluate beak and head motion of broiler chickens during feeding , 2015, Comput. Electron. Agric..

[28]  H. Cervantes Antibiotic-free poultry production: Is it sustainable? , 2015 .

[29]  F. E. Robinson,et al.  Growth, efficiency, and yield of commercial broilers from 1957, 1978, and 20051 , 2014, Poultry science.

[30]  Muhammad Ammad-uddin,et al.  Wireless sensor network: A complete solution for poultry farming , 2014, 2014 IEEE 2nd International Symposium on Telecommunication Technologies (ISTT).

[31]  Chakchai So-In,et al.  A hybrid mobile environmental and population density management system for smart poultry farms , 2014 .

[32]  S. Viazzi,et al.  A novel method to automatically measure the feed intake of broiler chickens by sound technology , 2014 .

[33]  Richard S Gates,et al.  Machine vision to identify broiler breeder behavior , 2013 .

[34]  A. De Montis,et al.  Analysis of poultry eating and drinking behavior by software eYeNamic , 2013 .

[35]  Gerard Corkery,et al.  Monitoring environmental parameters in poultry production facilities , 2013 .

[36]  Hironao Okada,et al.  Simulation study on the wireless sensor-based monitoring system for rapid identification of avian influenza outbreaks at chicken farms , 2010, 2010 IEEE Sensors.

[37]  L. Paolotti,et al.  Environmental impact evaluation of conventional, organic and organic-plus poultry production systems using life cycle assessment , 2010 .

[38]  Mohsin Murad,et al.  Web based poultry farm monitoring system using wireless sensor network , 2009, FIT.

[39]  Fangwu Dong,et al.  Wireless Sensor Networks Applied on Environmental Monitoring in Fowl Farm , 2009, CCTA.

[40]  Shane Ward,et al.  Investigation of the potential use of e-tracking and tracing of poultry using linear and 2D barcodes , 2009 .

[41]  Thomas Banhazi,et al.  Precision Livestock Farming: A Suite of Electronic Systems to Ensure the Application of Best Practice Management on Livestock Farms , 2009 .

[42]  Jean-Marie Aerts,et al.  Is precision livestock farming an engineer's daydream or nightmare, an animal's friend or foe, and a farmer's panacea or pitfall? , 2008 .

[43]  Hongwei Xin,et al.  Extracting poultry behaviour from time-series weigh scale records , 2008 .

[44]  Andrew Butterworth,et al.  Leg Disorders in Broiler Chickens: Prevalence, Risk Factors and Prevention , 2008, PloS one.

[45]  H. Houwers,et al.  A computer model for welfare assessment of poultry production systems for laying hens , 2006 .

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

[47]  Hongwei Xin,et al.  AN INSTRUMENTATION SYSTEM FOR STUDYING FEEDING AND DRINKING BEHAVIOR OF INDIVIDUAL POULTRY , 2001 .

[48]  H. D. Boer Poultry production systems. Behaviour, management and welfare , 1993 .

[49]  Michael C. Appleby,et al.  Poultry Production Systems: Behaviour, Management and Welfare , 1992 .

[50]  Farshad Almasganj,et al.  Ability evaluation of a voice activity detection algorithm in bioacoustics: A case study on poultry calls , 2020, Comput. Electron. Agric..

[51]  Tiemin Zhang,et al.  Development of an early warning algorithm to detect sick broilers , 2018, Comput. Electron. Agric..

[52]  S. S. Sonavane,et al.  Smart Poultry Farm Monitoring Using IOT and Wireless Sensor Networks , 2016 .

[53]  Foaziatu Bukari,et al.  Profile of broiler producers in Tennessee and vertical integration in broiler production , 2014 .

[54]  Mohd Fauzi Othman,et al.  Wireless Sensor Network Applications: A Study in Environment Monitoring System , 2012 .