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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

Review on poultry automation using IoT and machine learning

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  • Review on poultry automation using IoT and machine learning

Trimuke Digambar 1, *, Ameena Firdous Nikhat 2 and Nagaraj. M 2

1 Department of Computer Science and Engineering, Government Women's Polytechnic Kalaburagi Karnataka, India.
2 Department of Computer Science and Engineering, Government Polytechnic, Kalaburgi, Karnataka, India.
 
Review Article
World Journal of Advanced Research and Reviews, 2023, 18(03), 1638-1643
Article DOI: 10.30574/wjarr.2023.18.3.1253
DOI url: https://doi.org/10.30574/wjarr.2023.18.3.1253
 
Received on 19 May 2023; revised on 26 June 2023; accepted on 29 June 2023
 
The introduction of Internet of Things (IoT) era has revolutionized the rooster farming enterprise with the aid of using improving productivity, optimizing resources, enhancing efficiency, and lowering manufacturing costs. Rooster enterprise is an crucial enterprise for sustainable meals deliver in our country. The Food and Agriculture Organization of the United Nations (FAO) envisioned that during 2020, chook meat manufacturing reached a file excessive of about 102 million metric tons. It is about over 36% of world meat manufacturing. This article presents a complete assessment of studies emphasizing AI-enabled IoT programs in rooster and explores the ability of IOT sensors with inside the discipline of rooster farming and presents insights into the destiny of automation. By tracking and efficaciously preserving the temperature, dampness, air excellent, and meals feeder with the assist of Wireless Sensor Networks (WSN) era and the Internet of Things we will attain good-excellent manufacturing. The implementation of IoT in rooster farming gives several benefits, such as decreased exertions costs, higher sickness management, improved yields and higher animal welfare.
 
Sensors; WSN; IoT; Arduino; Cloud; ESP8266; Node MCU; Artificial Intelligence; Machine Learning
 
https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2023-1253.pdf

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Trimuke Digambar, Ameena Firdous Nikhat and Nagaraj. M. Review on poultry automation using IoT and machine learning. World Journal of Advanced Research and Reviews, 2023, 18(3), 1638-1643. Article DOI: https://doi.org/10.30574/wjarr.2023.18.3.1253

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