Lashari Muhammad Hanif, Karim Sarang, Alhussein Musaed, Hoshu Ayaz Ahmed, Aurangzeb Khursheed, Anwar Muhammad Shahid
Department of Electrical and Computer Engineering, Iowa State University, Ames, United States.
Department of Telecommunication Engineering, Quaid-e-Awan University of Engineering, Science & Technology, Nawabshah, Pakistan.
PeerJ Comput Sci. 2023 Oct 9;9:e1623. doi: 10.7717/peerj-cs.1623. eCollection 2023.
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), carbon dioxide (CO), carbon monoxide (CO), and ammonia (NH) 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 concentration exhibited an average value of 17% to 18.5% throughout the monitoring period. The CO 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 levels within the control sheds. The NH gas concentration remained consistently low throughout the duration, with an average value of 50 parts per million (ppm).
由于全球变暖和气候变化，家禽业受到严重影响，尤其是肉鸡产业，因为肉鸡的免疫系统较为敏感。然而，持续监测和控制养殖场的环境参数有助于减少环境对鸡健康的负面影响，从而提高肉类产量。本文提出了针对此类问题的智能解决方案，这些方案已实际实施，且生产和运营成本较低。本文展示了一种基于物联网（IoT）的家禽养殖场环境参数监测系统。该系统能够自动、可靠且低成本地收集和可视化关键传感数据，以高效管理和运营家禽养殖场。所提出的基于物联网的远程监测系统收集并可视化环境参数，如空气温度、相对湿度（RH）、氧气水平（O）、二氧化碳（CO）、一氧化碳（CO）和氨气（NH）气体浓度。已设计并部署无线传感器节点，以高效收集对监测和决策过程至关重要的基本环境参数数据。硬件已在禽舍控制棚内的一个场地成功实施和部署。结果揭示了与家禽养殖场内环境状况相关的重要发现。在整个监测期间，控制棚内的温度保持在期望范围内，日平均值在32°C至34°C之间。相对湿度在监测期间略有变化，范围为65%至75%，日平均值为70%。在整个监测期间，氧气浓度的平均值为17%至18.5%。二氧化碳水平偶尔会升高，最高值达到1100 ppm。然而，该值低于2500 ppm的最大允许水平，这表明通风系统在控制棚内有效维持了可接受的二氧化碳水平。在整个期间，氨气浓度一直保持在较低水平，平均值为百万分之五十（ppm）。
