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Internet of Things-based sustainable environment management for large indoor facilities

Due to global warming and climate change, the poultry industry is heavily impacted, especially the broiler industry, due to the sensitive immune system of broiler chickens. However, the continuous monitoring and controlling of the farm’s environmental parameters can help to curtail the negative impa...

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Autores principales: Lashari, Muhammad Hanif, Karim, Sarang, Alhussein, Musaed, Hoshu, Ayaz Ahmed, Aurangzeb, Khursheed, Anwar, Muhammad Shahid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588707/
https://www.ncbi.nlm.nih.gov/pubmed/37869451
http://dx.doi.org/10.7717/peerj-cs.1623
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author Lashari, Muhammad Hanif
Karim, Sarang
Alhussein, Musaed
Hoshu, Ayaz Ahmed
Aurangzeb, Khursheed
Anwar, Muhammad Shahid
author_facet Lashari, Muhammad Hanif
Karim, Sarang
Alhussein, Musaed
Hoshu, Ayaz Ahmed
Aurangzeb, Khursheed
Anwar, Muhammad Shahid
author_sort Lashari, Muhammad Hanif
collection PubMed
description Due to global warming and climate change, the poultry industry is heavily impacted, especially the broiler industry, due to the sensitive immune system of broiler chickens. However, the continuous monitoring and controlling of the farm’s environmental parameters can help to curtail the negative impacts of the environment on chickens’ health, leading to increased meat production. This article presents smart solutions to such issues, which are practically implemented, and have low production and operational costs. In this article, an Internet of Things (IoT) based environmental parameters monitoring has been demonstrated for the poultry farmhouse. This system enables the collection and visualization of crucially sensed data automatically and reliably, and at a low cost to efficiently manage and operate a poultry farm. The proposed IoT-based remote monitoring system collects and visualizes environmental parameters, such as air temperature, relative humidity (RH), oxygen level (O(2)), carbon dioxide (CO(2)), carbon monoxide (CO), and ammonia (NH(3)) gas concentrations. The wireless sensor nodes have been designed and deployed for efficient data collection of the essential environmental parameters that are key for monitoring and decision-making process. The hardware is implemented and deployed successfully at a site within the control shed of the poultry farmhouse. The results revealed important findings related to the environmental conditions within the poultry farm. The temperature inside the control sheds remained within the desired range throughout the monitoring period, with daily average values ranging from 32 °C to 34 °C. The RH showed slight variations monitoring period, ranging from 65% to 75%, with a daily average of 70%. The O(2) concentration exhibited an average value of 17% to 18.5% throughout the monitoring period. The CO(2) levels showed occasional increases, reaching a maximum value of 1,100 ppm. However, this value was below the maximum permissible level of 2,500 ppm, indicating that the ventilation system was effective in maintaining acceptable CO(2) levels within the control sheds. The NH(3) gas concentration remained consistently low throughout the duration, with an average value of 50 parts per million (ppm).
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spelling pubmed-105887072023-10-21 Internet of Things-based sustainable environment management for large indoor facilities Lashari, Muhammad Hanif Karim, Sarang Alhussein, Musaed Hoshu, Ayaz Ahmed Aurangzeb, Khursheed Anwar, Muhammad Shahid PeerJ Comput Sci Computer Networks and Communications Due to global warming and climate change, the poultry industry is heavily impacted, especially the broiler industry, due to the sensitive immune system of broiler chickens. However, the continuous monitoring and controlling of the farm’s environmental parameters can help to curtail the negative impacts of the environment on chickens’ health, leading to increased meat production. This article presents smart solutions to such issues, which are practically implemented, and have low production and operational costs. In this article, an Internet of Things (IoT) based environmental parameters monitoring has been demonstrated for the poultry farmhouse. This system enables the collection and visualization of crucially sensed data automatically and reliably, and at a low cost to efficiently manage and operate a poultry farm. The proposed IoT-based remote monitoring system collects and visualizes environmental parameters, such as air temperature, relative humidity (RH), oxygen level (O(2)), carbon dioxide (CO(2)), carbon monoxide (CO), and ammonia (NH(3)) gas concentrations. The wireless sensor nodes have been designed and deployed for efficient data collection of the essential environmental parameters that are key for monitoring and decision-making process. The hardware is implemented and deployed successfully at a site within the control shed of the poultry farmhouse. The results revealed important findings related to the environmental conditions within the poultry farm. The temperature inside the control sheds remained within the desired range throughout the monitoring period, with daily average values ranging from 32 °C to 34 °C. The RH showed slight variations monitoring period, ranging from 65% to 75%, with a daily average of 70%. The O(2) concentration exhibited an average value of 17% to 18.5% throughout the monitoring period. The CO(2) levels showed occasional increases, reaching a maximum value of 1,100 ppm. However, this value was below the maximum permissible level of 2,500 ppm, indicating that the ventilation system was effective in maintaining acceptable CO(2) levels within the control sheds. The NH(3) gas concentration remained consistently low throughout the duration, with an average value of 50 parts per million (ppm). PeerJ Inc. 2023-10-09 /pmc/articles/PMC10588707/ /pubmed/37869451 http://dx.doi.org/10.7717/peerj-cs.1623 Text en © 2023 Lashari et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Computer Networks and Communications
Lashari, Muhammad Hanif
Karim, Sarang
Alhussein, Musaed
Hoshu, Ayaz Ahmed
Aurangzeb, Khursheed
Anwar, Muhammad Shahid
Internet of Things-based sustainable environment management for large indoor facilities
title Internet of Things-based sustainable environment management for large indoor facilities
title_full Internet of Things-based sustainable environment management for large indoor facilities
title_fullStr Internet of Things-based sustainable environment management for large indoor facilities
title_full_unstemmed Internet of Things-based sustainable environment management for large indoor facilities
title_short Internet of Things-based sustainable environment management for large indoor facilities
title_sort internet of things-based sustainable environment management for large indoor facilities
topic Computer Networks and Communications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10588707/
https://www.ncbi.nlm.nih.gov/pubmed/37869451
http://dx.doi.org/10.7717/peerj-cs.1623
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