Review: When worlds collide – poultry modeling in the ‘Big Data’ era Article Swipe
Emily M. Leishman
,
Jihao You
,
Nayara Tavares Ferreira
,
Sarah M. Adams
,
Dan Tulpan
,
M.J. Zuidhof
,
R.M. Gous
,
Michael A. Jacobs
,
J.L. Ellis
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.animal.2023.100874
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.animal.2023.100874
Within poultry production systems, models have provided vital decision support, opportunity analysis, and performance optimization capabilities to nutritionists and producers for decades. In recent years, due to the advancement of digital and sensor technologies, 'Big Data' streams have emerged, optimally positioned to be analyzed by machine-learning (ML) modeling approaches, with strengths in forecasting and prediction. This review explores the evolution of empirical and mechanistic models in poultry production systems, and how these models may interact with new digital tools and technologies. This review will also examine the emergence of ML and Big Data in the poultry production sector, and the emergence of precision feeding and automation of poultry production systems. There are several promising directions for the field, including: (1) application of Big Data analytics (e.g., sensor-based technologies, precision feeding systems) and ML methodologies (e.g., unsupervised and supervised learning algorithms) to feed more precisely to production targets given a 'known' individual animal, and (2) combination and hybridization of data-driven and mechanistic modeling approaches to bridge decision support with improved forecasting capabilities.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.animal.2023.100874
- OA Status
- gold
- Cited By
- 14
- References
- 105
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380202186
All OpenAlex metadata
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https://openalex.org/W4380202186Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.animal.2023.100874Digital Object Identifier
- Title
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Review: When worlds collide – poultry modeling in the ‘Big Data’ eraWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
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2023Year of publication
- Publication date
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2023-06-10Full publication date if available
- Authors
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Emily M. Leishman, Jihao You, Nayara Tavares Ferreira, Sarah M. Adams, Dan Tulpan, M.J. Zuidhof, R.M. Gous, Michael A. Jacobs, J.L. EllisList of authors in order
- Landing page
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https://doi.org/10.1016/j.animal.2023.100874Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1016/j.animal.2023.100874Direct OA link when available
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Big data, Data science, Computer science, Production (economics), Field (mathematics), Automation, Analytics, Artificial intelligence, Machine learning, Data mining, Engineering, Mathematics, Mechanical engineering, Economics, Macroeconomics, Pure mathematicsTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
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2025: 9, 2024: 1, 2023: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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