EventsThe 4th International Online Conference on Animals
Published
This submission belongs to the session 5. Environmental Challenges to Animals and Precision Livestock Farming of the event The 4th International Online Conference on Animals
Published date
12 Mar, 2026
Academic Editor
author-avatarAndrea Pezzuolo
Citation
Thomas M. Banhazi, Annamaria Banhazi, Uri Marchaim, Idan Kopler, Aviv Asher, Kevin Mallimger, Ildiko Tikasz, David Janke, Sabrina Hempel, Sebastian Opaliński, Katarzyna Olejnik, Eugen Kokin, Josep Reixach, Veljko Vujacic, Jovan Sudar, Nemanja Kajari, Jarissa Maselyne, Noémie Van Noten, Stefan G unnarsson, Utilising the Enviro-Detect System to Comprehensively Monitor the Environmental Conditions in European Pig, Poultry and Cattle Production Facilities, in Proceedings of The 4th International Online Conference on Animals, 17 March–19 March 2026, MDPI: Basel, Switzerland
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Utilising the Enviro-Detect System to Comprehensively Monitor the Environmental Conditions in European Pig, Poultry and Cattle Production Facilities

Annamaria Banhazi 2
Aviv Asher 3
Kevin Mallimger 4
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Josep Reixach 9
Veljko Vujacic 10
Jovan Sudar 10
Nemanja Kajari 10
Noémie Van Noten 11
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1. 1InnoTech Vision ApS. Tjele, Denmark; 2PLF Agritech Pty. Ltd. Brisbane, Australia; 3Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland; 4University of Southern Queensland, Toowoomba, Australia;, Australia
2. InnoTech Vision ApS. Tjele, Denmark; 2PLF Agritech Pty. Ltd. Brisbane, Australia;, Australia
3. MIGAL, Galilee Research Institute, Kiryat Shmona, Israel, Israel
4. SBA Research, Vienna, Austria, Austria
5. AKI, Budapest, Hungary, Hungary
6. ATB Leibniz Institute for Agricultural Engineering and Bioeconomy, 14469 Potsdam, Germany, Germany
7. Wroclaw University of Environmental and Life Sciences, Wroclaw, Poland, Poland
8. EMU, Tartu 51006, Estonia, Estonia
9. Selección Batallé S.A., Girona, Spain, Spain
10. Carnex d.o.o., Vrbas, Serbia, Serbia
11. ILVO, Merelbeke-Melle, Belgium, Belgium
12. SLU Skara, Skara, Sweden, Sweden
Abstract

Effective environmental monitoring within livestock facilities is fundamental for ensuring optimal animal welfare, promoting farm worker safety, and demonstrating environmental stewardship. Airborne pollutants, such as ammonia, particulate matter, and carbon dioxide can negatively impact animal health, welfare, productivity, the working conditions of staff, and the environmental sustainability of the farming operation. In addition, the precise and continuous evaluation of thermal conditions in livestock buildings is becoming an essential management duty, as climate change-related impacts can severely compromise whole-farm efficiency.

Traditionally, the comprehensive assessment of in-barn environmental conditions has required the deployment of multiple, often non-integrated devices, complicating data collection and analysis. As part of three EU-funded projects, such as LivestockSense (https://livestocksense.eu/), aWISH (https://www.awish-project.eu/), and ET4D (https://www.et4d.eu/), a number of integrated environmental monitoring systems or Enviro-Detect units (ED; PLF Agritech, Brisbane, Australia) were deployed in commercial pig, poultry, and cattle buildings in Estonia, Israel, Germany, Hungary, Poland, Serbia, Spain, and Sweden to evaluate (1) the capacity of a single platform to continuously track a suite of critical environmental parameters under commercial conditions, (2) the practical feasibility of such technology in real-world farm settings, and (3) the utility of these measurements for assessing animal health, welfare, and production efficiency.

The ED systems were installed in the above-mentioned countries between 2021 and 2026, with weekly environmental reports delivered to farm management. Comparative analysis with data from these pig, poultry, and dairy buildings were undertaken and the results will be presnted during this conference. The findings showcased the ED system’s ability to deliver actionable, real-time data on barn climate and pollutant levels, empowering farm managers to rapidly respond to suboptimal conditions and optimize production efficiency.

Keywords
smart technology
integrated sensors
livestock monitoring
air quality
temperature regulation
ammonia
dust
humidity
emission rates
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