{"title":"Performance of a real-time and wireless electrochemical gas sensor for monitoring ammonia concentration in a naturally ventilated dairy barn","authors":"E. Rosa , R. Azevedo , P. Merino","doi":"10.1016/j.compag.2025.110418","DOIUrl":null,"url":null,"abstract":"<div><div>One of the most widely used techniques for monitoring ammonia (NH<sub>3</sub>) concentrations on livestock farms has been the photoacoustic gas analyser (PGA), which requires cabling, multiple repeated measurements at the same sampling point and lacks real-time remote capabilities. Electrochemical gas sensors (EGS) offer a promising alternative, allowing higher sampling frequencies, wireless operation and real-time data transmission. While EGS performance has been validated in laboratory settings, field testing remains limited. The objectives of this study were to determine the number of repeated PGA measurements required to achieve steady-state NH<sub>3</sub> concentrations and to compare them to EGS measurements in a naturally ventilated dairy barn. Ammonia concentrations were monitored at five sampling points on a commercial dairy farm using both technologies over 18 days. The results showed non-normal NH<sub>3</sub> concentration data distributions and similar patterns between them, ranging from 0.5 to 9.6 ppm for PGA and 0.6 to 13 ppm for EGS. A stabilisation of NH<sub>3</sub> measurements was observed between the 4th, 5th and 6th repeated measurements of PGA (p > 0.75). A strong agreement between PGA and EGS values was also observed (PC > 0.7 and RMSE < 0.9). This study demonstrates the feasibility of using EGS for real-time, wireless NH<sub>3</sub> monitoring in dairy barns, eliminating PGA operational requirements. In addition, EGS allows data to be collected at 1-min intervals, a significant improvement on the 1-h intervals typical of PGA systems. This resolution allows the detection of rapid NH<sub>3</sub> fluctuations, providing a practical solution for real-time NH<sub>3</sub> measurement in precision livestock farming applications.</div></div>","PeriodicalId":50627,"journal":{"name":"Computers and Electronics in Agriculture","volume":"236 ","pages":"Article 110418"},"PeriodicalIF":7.7000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Electronics in Agriculture","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168169925005241","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
One of the most widely used techniques for monitoring ammonia (NH3) concentrations on livestock farms has been the photoacoustic gas analyser (PGA), which requires cabling, multiple repeated measurements at the same sampling point and lacks real-time remote capabilities. Electrochemical gas sensors (EGS) offer a promising alternative, allowing higher sampling frequencies, wireless operation and real-time data transmission. While EGS performance has been validated in laboratory settings, field testing remains limited. The objectives of this study were to determine the number of repeated PGA measurements required to achieve steady-state NH3 concentrations and to compare them to EGS measurements in a naturally ventilated dairy barn. Ammonia concentrations were monitored at five sampling points on a commercial dairy farm using both technologies over 18 days. The results showed non-normal NH3 concentration data distributions and similar patterns between them, ranging from 0.5 to 9.6 ppm for PGA and 0.6 to 13 ppm for EGS. A stabilisation of NH3 measurements was observed between the 4th, 5th and 6th repeated measurements of PGA (p > 0.75). A strong agreement between PGA and EGS values was also observed (PC > 0.7 and RMSE < 0.9). This study demonstrates the feasibility of using EGS for real-time, wireless NH3 monitoring in dairy barns, eliminating PGA operational requirements. In addition, EGS allows data to be collected at 1-min intervals, a significant improvement on the 1-h intervals typical of PGA systems. This resolution allows the detection of rapid NH3 fluctuations, providing a practical solution for real-time NH3 measurement in precision livestock farming applications.
期刊介绍:
Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.