Abstract
Livestock farming needs to reach superior productivity levels in an environmentally sustainable manner. In order to accelerate the development of the livestock industry, it is important to make optimal use of farming knowledge and provide farmers with adequate information technologies. This article describes the realisation of a precision livestock management information technology framework that can serve as a practical guide for the development of new and various livestock management software products. The business domain focus is on the egg industry with a detailed precision poultry farming example and real realization. The online platform specified hereafter as zootechnical diary delivers monitoring and collaborative capabilities to improve laying hens’ health and welfare at industrial poultry farms. It connects egg and breeding farms through cloud technologies to provide continuous data recording, automatic comparisons between actual and expected production indicators, e-networking and integrated data-flow between the two parties. Breeding farms benefit from enhanced competitiveness, improved supplier-client relationships, while egg farms enjoy management precision, timely feedback on animals’ health and economic benefits.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Food and Agriculture Organization of the United Nations: Global agriculture towards 2050. Rome, Office of the Director, Agricultural Development Economics Division Economic and Social Development Department (2009)
Cumby, T.R., Phillips, V.R.: Environmental impacts of livestock production. Integrated Management Systems for Livestock, vol. 28, pp. 13–22 (2001)
Webster, A.J.: The future of livestock production: planning for the unknown. Integrated Management Systems for Livestock, vol. 28, pp. 113–118 (2001)
Schofield, C.P., Wathes, C., Frost, A.R.: Integrated Management Systems for Pigs- Increasing Production Efficiency and Welfare. Animal Production in Australia, vol. 24, pp. 197–200 (2002)
Gates, R.S., Banhazi, T.: Applicable technologies for Controlled Environment Systems (CES) in livestock production. Animal Production in Australia, vol. 24, pp. 486–489 (2002)
Huang, J., Guo, P., Xie, Q., Meng, X.: Cloud services platform based on big data analytics and its application in livestock management and marketing. In: Proceedings of Science, Guangzhou (2015)
Berckmans, D.: Precision livestock farming technologies for welfare management in intensive livestock systems. Scientific and Technical Review of the Office International des Epizooties, vol. 33(1), pp. 189–196 (2014)
Banhazi, T.: A National Workshop on “Precision Poultry Farming” in Australia, s.l.: Australian Egg Corporation Limited (2005)
Berckmans, D.: Automatic on-line monitoring of animals by precision livestock farming. In: International Society for Animal Hygiene, Saint-Malo, pp. 27–30 (2004)
EU-PLF: Smart Farming for Europe Value creation through Precision Livestock Farming (2016). https://cordis.europa.eu/docs/results/311/311825/final1-20170707v5-finalreport-gano311825.pdf
Guarino, M., et al.: A blueprint for developing and applying precision livestock farming tools: a key output of the EU-PLF project. Anim. Front. 7(1), 12–17 (2017)
Food and Agriculture Organization of the United Nations (FAO): Information and Communication Technology (ICT) in Agriculture A Report to the G20 Agricultural Deputies. Food and Agriculture Organization of the United Nations, Rome (2017)
The Apache Software Foundation: Apache Kafka is a distributed streaming platform (2017). https://kafka.apache.org/intro
Chung, L., do Prado Leite, J.C.S.: On non-functional requirements in software engineering. In: Borgida, A.T., Chaudhri, V.K., Giorgini, P., Yu, E.S. (eds.) Conceptual Modeling: Foundations and Applications. LNCS, vol. 5600, pp. 363–379. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-02463-4_19
Rose, D.C., et al.: Decision support tools for agriculture: towards effective design and delivery. Agric. Syst. 149, 165–174 (2016)
Salampasis, M., Kalentzi, E., Batzios, C.: Better Decision Making in the Broiler Industry by Integrating Linear Programming into the BRODESSYS Decision Support System (2003)
Acknowledgements
The author wishes to thank the Sofia University and specifically Associate Professor Kamen Spassov for his continued support in structuring the author’s research activities.
The developed system - ZooTechnical Diary- was implemented as part of the product portfolio of a start-up company known under the name CocoFarm Ltd. CocoFarm was founded and predominantly self-funded by the author herself. The rest of the funding was provided by the Climate - KIC Accelerator Bulgaria. The author wishes to thank Mr. Vasil Gichev and Mr. Martin Kirilov for their readiness to always lend a helping hand with technical advice, logistics, requirements.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Stefanova, M. (2019). Precision Poultry Farming: Software Architecture Framework and Online Zootechnical Diary for Monitoring and Collaborating on Hens’ Health. In: Salampasis, M., Bournaris, T. (eds) Information and Communication Technologies in Modern Agricultural Development. HAICTA 2017. Communications in Computer and Information Science, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-12998-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-12998-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12997-2
Online ISBN: 978-3-030-12998-9
eBook Packages: Computer ScienceComputer Science (R0)