Scholarly record
INTERNET OF THINGS IN POULTRY FARMING: A COMPREHENSIVE REVIEW OF TECHNOLOGIES, APPLICATIONS AND FUTURE PROSPECTS FOR CLIMATE-RESILIENT LIVESTOCK SYSTEMS IN AFRICA
Abstract
Integrating Internet of Things (IoT) in poultry farming transforms livestock manage-ment and promotes climate resilience, namely in sub-Saharan Africa, where the rising demand for animal protein is challenged by climate variability and limited resources. This review examines how IoT enhances climate resilience, operational efficiency, and sustainability in African poultry systems. A systematic scoping review following PRISMA guidelines was conducted using databases such as Scopus, IEEE Xplore, Sci-enceDirect, SpringerLink, MDPI, and Google Scholar, for studies published between 2018 and 2025. From over 450 screened articles, 46 met the inclusion criteria, focusing on IoT applications in environmental monitoring, feeding automation, health surveil-lance, data analytics, and energy management. Findings show that global IoT adoption in poultry farming has progressed with advanced sensor networks, cloud systems, and artificial intelligence (AI) integration while African adoption remains slow due to infra-structural and economic challenges. Nevertheless, evidence from pilot projects high-lights the success of solar-powered systems, affordable wireless sensors, and mobile dashboards in improving efficiency and climate adaptation. The paper proposes an afford-able conceptual framework combining smart sensing, renewable energy, and AI-based analytics, tailored to smallholder and peri-urban farms. Key enablers include sup-portive policies, public-private partnerships, and open-source innovation, though chal-lenges persist with connectivity, costs, and technical skills. The future integration of AI and satellite IoT will thus be able to create poultry intelligent farms in Africa as well.
Publication Impact Profile
Publication details
References29
Jayapoorani J.S. et al, �Smart Farming: IoT-Based Monitoring and Automated Ventilation in Poultry,� Int. J. Intell. Syst. Appl. Eng, vol. 12, no. 23, 2024.
Mangesh K. et al, �IoT-Based Smart Poultry Farm Monitoring and Controlling Using Raspberry Pi,� Int. J. Intell. Syst. Appl. Eng., vol. 12, no. 12, pp. 373-379, 2024.
Ambafi J.G et al, �A Review on Development of an IoT-Based System for Enhancing Yield in Poultry Farming,� CUJoSTech, vol. 2, no. 1, 2025. 4] Mazunga F. e. al, �IoT Based Remote Poultry Monitoring Systems for Improving Food Security and Nutrition: Recent Trends and Issues,� Journal of Agriculture Science & Technology, vol. 22, no. 2, 2023. DOI: 10.5455/cujostech.250414
Muya I.N. et al., �Smart Poultry Farming: Enhancing Chicken Welfare and Produc-tivity with IoT-based Monitoring Temperature and Humidity,� International Journal of Computer Applications, vol. 186, no. 69, 2025. DOI: 10.5120/ijca2025924517
Lufyagila B. et al, �IoT-powered system for environmental conditions monitoring in poultry house: A case of Tanzania,� African Journal of Science, Technology, Innovation and Development, vol. 14, no. 4, 2022. DOI: 10.1080/20421338.2021.1924348
Jebari H. et al, �Artificial Intelligence for Optimizing Livestock Management and Enhancing Animal Welfare,� International Conference on Advanced Intelligent Systems for Sustainable Development, Agadir, Morocco, 2024, pp. 790-800. DOI: 10.1007/978-3-031-91337-2_70
Vivek R.P. et al, �A systematic review of IoT technologies and their constituents for smart and sustainable agriculture applications,� Scientific African, vol. 19, 2023. DOI: 10.1016/j.sciaf.2023.e01577
Sithandiwe T.D. et al, �Technology Adoption for Precision Agriculture in Africa: a bibliometric analysis,� ICECCME, vol. 6, no. 2, 2023.
Srivastav A.K. et al, �Edge Computing and AI in Agricultural IoT,� in Biotech-nology and IoT in Agriculture and Food Production, Berkeley, 2025, p.p. 187�200. DOI: 10.1007/979-8-8688-1469-3_21
Malini T. et al., �IoT-based smart poultry farm monitoring,� in 2023 9th Int. Conf. on Advanced Computing and Communication Systems, 2023. DOI: 10.1109/icaccs57279.2023.10112870
Ahmed, M. et al, �A smart IoT-based monitoring system in poultry farms using chicken behavioral analysis,� Internet of Things, vol. 25, 2024. DOI: 10.1016/j.iot.2023.101010
Mahesh N. et al, �Implementation of embedded system based poultry feeding trolley automation.,� in 5th Int. Conf. on Smart Electronics and Communication, 2024.
Kaimujjaman M. et al, �A smart automation system for controlling environmental parameters of poultry farms to increase poultry production,� in Int. Conf. on Trends in Electronics and Health Informatics, Springer Nature, Singapore, 2022. DOI: 10.1007/978-981-99-1916-1_6
Toth, G. et al, �Edge or cloud architecture: The applicability of new data pro�cessing methods in large-scale poultry farming,� Technologies, vol. 13, no. 1, 2025. DOI: 10.3390/technologies13010017
Lashari et al, �Internet of Things-based sustainable environment management for large indoor facilities,� Peer J Computer Science, vol. 9, 2023. DOI: 10.7717/peerj-cs.1623
Chang et al, �Use of IoT sensors to build an intelligent monitoring and control system for poultry house environment,� Sensors and Materials, vol. 35, no. 12, p. 3997, 2023. DOI: 10.18494/sam4582
Ali, M. et al, �Intelligent control shed poultry farm system incorporating machine learning,� IEEE Access, vol. 12, pp. 58168-58180, 2024. DOI: 10.1109/access.2024.3391822
Ompal V.M.M. et al, �Zigbee internode communication and FPGA synthesis using mesh, star and cluster tree topological chip,� Wireless Personal Communications, vol. 119, no. 2, pp. 1321-1339, 2021. DOI: 10.1007/s11277-021-08282-w
Rehman A.U. et al, �Smart agriculture technology: an integrated framework of renewable energy resources, IoT-based energy management, and precision robotic,� Clean Energy Systems, vol. 9, 2024. DOI: 10.1016/j.cles.2024.100132
Batuto, et al, �An IoT poultry management system for small farms,� in IEEE 7th Int. Conf. on Industrial Engineering and Applications, pp. 738-742, 2020. DOI: 10.1109/iciea49774.2020.9102040
Cruz et al, �AI-based monitoring for enhanced poultry flock management,� Agriculture, vol. 14, no. 12, pp. 1-26, 2024. DOI: 10.3390/agriculture14122187
Adeyanju et al, �Assessing food security among young farmers in Africa: Evidence from Kenya, Nigeria, and Uganda,� Agricultural and Food Economics, vol. 11, no. 1, p. 4, 2023. DOI: 10.1186/s40100-023-00246-x
Malika et al, �Temperature & humidity monitoring for poultry farms using IoT,� in IEEE 12th Symposium on Computer Applications & Industrial Electronics, pp. 76-81, 2022. DOI: 10.1109/iscaie54458.2022.9794520
Oluwagbenga et al, �Heat stress and poultry production: a comprehensive review,� Poultry Science, vol. 102, no. 12, 2023. DOI: 10.1016/j.psj.2023.103141
Lamping C., �Dealing with uncertainty: Deep learning for robust animal monitor�ing in uncontrolled environments� (Master�s thesis), Wageningen University, 2024.
Neethirajan, S., �Safeguarding digital livestock farming a comprehensive cyberse-curity roadmap for dairy and poultry industries,� Frontiers in Big Data, vol. 8, 2025. DOI: 10.3389/fdata.2025.1556157
Subasree S. at al, �Sensory Detector of Hazardous Gases in Poultry Farms,� Int. Journal of Engineering Research & Technology, vol. 13, no. 4, 2024.
Morchid A. et al, �Applications of IoT and sensor technology to increase food security and agricultural sustainability: benefits and challenges,� Ain Shams Engineer-ing Journal, vol. 15, no. 3, 2024. DOI: 10.1016/j.asej.2023.102509
Rafael B.M., �The importance of agricultural development projects: A focus on sustenance and employment creation in Kenya, Malawi, Namibia, Rwanda, and Ugan-da,� Journal of Agricultural Chemistry and Environment, vol. 12, no. 2, pp. 152-170, 2023. DOI: 10.4236/jacen.2023.122013
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

