D'Urso Provvidenza Rita, Finocchiaro Alice, Cinardi Grazia, Arcidiacono Claudia
Department of Agriculture, Food and Environment, University of Catania, Via Santa Sofia n. 100, 95123 Catania, Italy.
Sensors (Basel). 2025 Aug 12;25(16):4987. doi: 10.3390/s25164987.
The livestock sector significantly contributes to atmospheric emissions of various pollutants, such as ammonia (NH) and particulate matter of diameter under 2.5 µm (PM2.5) from activity and barn management. The objective of this study was to evaluate the reliability of low-cost sensors integrated with an IoT system for monitoring PM2.5 concentrations in a dairy barn. To this end, data acquired by a PM2.5 measurement device has been validated by using a high-precision one. Results demonstrated that the performances of low-cost sensors were highly correlated with temperature and humidity parameters recorded in its own IoT platform. Therefore, a parameter-based adjustment methodology is proposed. As a result of the statistical assessments conducted on this data, it has been demonstrated that the analysed sensor, when corrected using the proposed correction model, is an effective device for the purpose of monitoring the mean daily levels of PM2.5 within the barn. Although the model was developed and validated by using data collected from a dairy barn, the proposed methodology can be applied to these sensors in similar environments. Implementing reliable and affordable monitoring systems for key pollutants is crucial to enable effective mitigation strategies. Due to their low cost, ease of transport, and straightforward installation, these sensors can be used in multiple locations within a barn or moved between different barns for flexible and widespread air quality monitoring applications in livestock barns.
畜牧业对各种污染物的大气排放有显著贡献，例如来自活动和畜舍管理的氨（NH）和直径小于2.5微米的颗粒物（PM2.5）。本研究的目的是评估与物联网系统集成的低成本传感器用于监测奶牛场中PM2.5浓度的可靠性。为此，已使用高精度设备对PM2.5测量设备采集的数据进行了验证。结果表明，低成本传感器的性能与在其自身物联网平台上记录的温度和湿度参数高度相关。因此，提出了一种基于参数的调整方法。对这些数据进行统计评估的结果表明，经分析的传感器在使用所提出的校正模型进行校正后，是用于监测牛舍内PM2.5日均水平的有效设备。尽管该模型是通过使用从奶牛场收集的数据开发和验证的，但所提出的方法可应用于类似环境中的这些传感器。实施针对关键污染物的可靠且经济实惠的监测系统对于制定有效的减排策略至关重要。由于这些传感器成本低、便于运输且安装简单，它们可用于畜舍内的多个位置，或在不同畜舍之间移动，以用于畜舍内灵活且广泛的空气质量监测应用。
