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Precision Poultry Farming: Software Architecture Framework and Online Zootechnical Diary for Monitoring and Collaborating on Hens’ Health

  • Magdalena StefanovaEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 953)

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.

Keywords

Precision poultry farming Precision livestock farming ZooTechnical Diary Software-as-a-Service Production indicators Health of laying hens 

Notes

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.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computing Systems, Faculty of Mathematics and InformaticsSofia University “St. Kliment Ohridski”SofiaBulgaria

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