Autonomous poultry farming in the UK : a review of technologies and challenges
Morsi, Nour and Khedr, Mohamed and Yang, Erfu and Masood, Tariq and Maier, Anja and Campbell, Karen and Wallace, Ashley; (2025) Autonomous poultry farming in the UK : a review of technologies and challenges. In: 2025 30th International Conference on Automation and Computing (ICAC). IEEE, GBR. ISBN 9798331525453 (https://doi.org/10.1109/ICAC65379.2025.11196305)
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Abstract
As population growth accelerates, the global demand for eggs and poultry meat is anticipated to surge. However, the poultry industry encounters several challenges, including avian influenza outbreaks, economic inflation, and a diminishing skilled labour pool. These factors exert pressure on farmers to sustain efficiency and sustainability. Accordingly, the poultry industry in the United Kingdom is adopting advanced technologies such as computer vision, artificial intelligence (AI), and robotics to optimise operational processes. This paper presents an overview of the United Kingdom poultry industry, highlighting cutting-edge technologies, dominant challenges, and emerging trends. While smart technologies have demonstrated effectiveness in addressing certain challenges within the UK poultry industry, the adoption of more adaptable robotic systems and the implementation of AI-driven health monitoring systems are essential to attain the objective of establishing intelligent packing centres.
ORCID iDs
Morsi, Nour
ORCID: https://orcid.org/0000-0002-3427-8305, Khedr, Mohamed
ORCID: https://orcid.org/0000-0003-3571-7450, Yang, Erfu
ORCID: https://orcid.org/0000-0003-1813-5950, Masood, Tariq
ORCID: https://orcid.org/0000-0002-9933-6940, Maier, Anja
ORCID: https://orcid.org/0000-0002-3890-6452, Campbell, Karen and Wallace, Ashley;
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Item type: Book Section ID code: 94857 Dates: DateEvent16 October 2025PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 02 Dec 2025 09:25 Last modified: 04 Feb 2026 08:51 URI: https://strathprints.strath.ac.uk/id/eprint/94857
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