Smart Technologies in Poultry Production: Trends and Innovations
Poultry farming faces significant challenges, including increasing productivity, improving animal welfare, and promoting sustainability. Smart technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Big Data, cloud computing, and robotics, offer transformative potential for this sector. However, implementing these technologies involves challenges, such as high initial costs, proper infrastructure, and adaptation to adverse environmental conditions. Innovative approaches, including government subsidies, cooperative models, and adaptive technologies, are being explored to reduce costs and improve accessibility. Furthermore, there is a lack of comprehensive research on the applicability of these technologies in poultry farming. This study aims to provide an overview of the applications of smart technologies in optimizing productivity, improving animal welfare, and promoting sustainability across various stages of poultry production, including feeding, health monitoring, and environmental control. The study details key use cases and challenges encountered using methods such as systematic literature review and bibliometric analysis in databases like Web of Science and Scopus. The results highlight a significant increase in global interest in research. The study offers a global overview of scientific production and significant contributions to the advancement of scientific research, specifically in integrating smart technologies across different stages of poultry farming and introducing new approaches, such as non-classical logic, to handle inconsistent and incomplete data. The study provides a better understanding of the potential of smart technologies in poultry farming and critically evaluates their impact on productivity, animal welfare, and sustainability.
Authors
- Marcos Leandro Hoffmann Souza (ORCID: https://orcid.org/0000-0001-9862-656X)
- Dinamar de Oliveira dos Santos Gomes (ORCID: https://orcid.org/0000-0002-3445-2676)
- Marcus Vinicius Leite (ORCID: https://orcid.org/0009-0008-7654-6508)
- Jair Minoro Abe (ORCID: https://orcid.org/0000-0003-2088-9065)
- Irenilza de Alencar Nääs (ORCID: https://orcid.org/0000-0003-0663-9377)
- Linda Thomas
Institutions
- Universidade Paulista (BR)
- Universidade do Vale do Rio dos Sinos (BR)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procs.2025.09.570
- Citations
- 1
- Primary Topic
- Animal Nutrition and Physiology
- Type
- article
- Field-Weighted Citation Impact
- 1.19