Universiti Teknologi Malaysia Institutional Repository

A review on computer vision technology for monitoring poultry farm—application, hardware, and software

Abd. Aziz, Nur Syazarin Natasha and Mohd. Daud, Salwani and Dziyauddin, Rudzidatul Akmam and Adam, Mohamad Zulkefli and Azizan, Azizul (2021) A review on computer vision technology for monitoring poultry farm—application, hardware, and software. IEEE Access, 9 . pp. 12431-12445. ISSN 2169-3536


Official URL: http://dx.doi.org/10.1109/ACCESS.2020.3047818


The productivity and profitability of poultry farming are crucial to support its affordability issues in food security. Criteria in productivity measurement, including Feed Conversion Ratio (FCR) calculation, whereas economic management is essential for profitability. Hence, best management practices need to be implemented throughout the growth period for optimizing the poultry performance. This review provides a comprehensive overview of computer vision technology for poultry industry research. This review relies on the use of several online databases to identify key works in the area of computer vision in a poultry farm. We recommend our search by focusing on four keywords, 'computer vision' and 'poultry' or 'chicken' or 'broiler' that had been published between 2010 and early 2020 with open access provided by University Teknologi Malaysia only. All the selected papers were manually examined and sorted to determine their relevance to computer vision in a poultry farm. We focus on the latest developments by focusing on the hardware and software parts used to analyze the poultry data with some examples of various representative studies on poultry farming. Notably, hardware parts can be classified into camera types, lighting units and camera position, whereas software parts can be categorized into data acquisition and analysis software types as well as data processing and analysis methods that can be implemented into the software types. This paper concludes by highlighting the future works and key challenges that needed to be addressed to assure the quality of this technology prior to the successful implementation of the poultry industry.

Item Type:Article
Uncontrolled Keywords:broiler, computer vision
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:94669
Deposited By: Widya Wahid
Deposited On:31 Mar 2022 23:52
Last Modified:31 Mar 2022 23:52

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