Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Authors

  • Hakim Jebari Research Laboratory in Engineering, Innovation and Management of Industrial Systems https://orcid.org/0000-0002-0258-3954
  • Meriem Hayani Mechkouri Research Laboratory in Engineering, Innovation and Management of Industrial Systems
  • Siham Rekiek Intelligent Automation Laboratory, The International Higher Institute of Tourism of Tangier https://orcid.org/0000-0002-3124-4978
  • Kamal Reklaoui Research Laboratory in Engineering, Innovation and Management of Industrial Systems

DOI:

https://doi.org/10.3991/ijim.v17i12.38095

Keywords:

Internet of Things, Artificial Intelligence, Edge Computing, Poultry, Smart Poultry

Abstract


Poultry farms have played a significant role throughout human history, in feeding the growing population. A good environment is a perfect condition for the growth of poultry, preventing disease, and effective production. The temperature higher and the humidity favor the growth of bacteria and hence the production of ammonia (NH3) by the decomposition of organic matter. Ammonia (NH3), carbon monoxide (CO), and carbon dioxide (CO2), Methane (CH4), hydrogen sulfide (H2S) are poisonous gases that can cause poultry diseases and mortality. The combination of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing offer efficient and intelligent stand-alone systems of monitoring in real-time, predicting, and advanced automation. The paper aims to monitor in real-time and predict poultry barns' environmental conditions using an artificial intelligence algorithm. An intelligent system called Poultry-Edge-AI-IoT has been developed to gather, hash, store, pretreat, filter, knowledge extract, and transmit information from a heterogeneous wireless sensor network. The Poultry-Edge-AI-IoT system is based on IoT, AI, and Edge Computing for the detection of potential stress, the harmful gas concentration, and the prediction of poultry barns' environmental conditions. The system is modular and upgradeable.

Cover iJIM Vol. 17 No. 12 (2023)

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Published

2023-06-20

How to Cite

Jebari, H., Hayani Mechkouri , M., Rekiek, S., & Reklaoui, K. (2023). Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence. International Journal of Interactive Mobile Technologies (iJIM), 17(12), pp. 149–170. https://doi.org/10.3991/ijim.v17i12.38095

Issue

Vol. 17 No. 12 (2023)

Section

Papers

License

Copyright (c) 2023 Hakim Jebari, Meriem Hayani mechkouri , Siham Rekiek, Kamal Reklaoui

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