A Low-Cost Wireless Sensor Network for Barn Climate and Emission Monitoring—Intermediate Results

Author:

Janke David1ORCID,Bornwin Michael1,Coorevits Kobe2ORCID,Hempel Sabrina1ORCID,van Overbeke Philippe3,Demeyer Peter2,Rawat Aditya1,Declerck Arnout2ORCID,Amon Thomas14ORCID,Amon Barbara56ORCID

Affiliation:

1. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Sensors and Modeling, Max-Eyth-Allee 100, 14469 Potsdam, Germany

2. Technology and Food Science Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Burgemeester Van Gansberghelaan 92, 9820 Merelbeke, Flanders, Belgium

3. VIVES MaakLab, VIVES University of Applied Sciences, Spoorwegstraat 12, 8200 Bruges, Flanders, Belgium

4. Department of Veterinary Medicine, Institute of Animal Hygiene and Environmental Health, Free University Berlin (FUB), Robert-von-Ostertag-Str. 7-13, 14163 Berlin, Germany

5. Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department Technology Assessment, Max-Eyth-Allee 100, 14469 Potsdam, Germany

6. Faculty of Civil Engineering, Architecture and Environmental Engineering, University of Zielona Gora, Licealna 9/9, 65-417 Zielona Gora, Lubusz, Poland

Abstract

A barn’s climate is vital for animal welfare and emissions control, including greenhouse gases like methane (CH4) and carbon dioxide (CO2) and environmental gases like ammonia (NH3). The goal of this study was to investigate a developed low-cost online tool for monitoring barn climate and air pollutant emissions (OTICE) in naturally ventilated barns. OTICE employed a wireless sensor network with low-cost sensors for gases and climate variables, allowing scalable use across multiple barns. We evaluated the sensors for CO2, NH3, and CH4 for accuracy, both in controlled lab conditions and in a dairy barn in Germany, where measurements were carried out continuously for a duration of 12 days. For the averaged concentration levels over the measurement period, the low-cost sensors agreed well with the reference system, with relative deviations lower than 7% for all three gases, with maximum peak deviations up to 32% for CO2, 67% for NH3, and 65% for CH4, with strong Spearman correlations for CO2 and NH3 (ρCO2 = 0.8, ρNH3 = 0.68) and a rather weak correlation for CH4 with ρCH4 = 0.24. Further calibration and stability investigations are required, especially for CH4 sensing. However, the overall good results for NH3 and especially CO2 measurements indicate a huge potential of the low-cost system as a valuable tool for monitoring relative NH3 emission levels and the measurement of air exchange rates in naturally ventilated barns.

Funder

2018 Joint Call of the Cofund ERA-Nets FACCE ERA-GAS

ICT-AGRI 2

SusAn

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference35 articles.

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2. EEA (2020). European Union Emission Inventory Report 1990–2018—EEA Report No 5/2020, EEA.

3. Pedersen, S., Blanes-Vidal, V., Jørgensen, H., Chwalibog, A., Haeussermann, A., Heetkamp, M., and Aarnink, A. (2008). Carbon dioxide production in animal houses: A literature review. Agric. Eng. Int. CIGR J., X.

4. Calculation of ventilation rates and ammonia emissions: Comparison of sampling strategies for a naturally ventilated dairy barn;Janke;Biosyst. Eng.,2020

5. Zhuang, S., Brusselman, E., Sonck, B., and Demeyer, P. (2020). Validation of five gas analysers for application in ammonia emission measurements at livestock houses according to the VERA test protocol. Appl. Sci., 10.

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