In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings
Identification
- Clé publique
- radar:r-d3bbd37f21ad9f31299badeb77c0be1b
- Auteurs
- Provvidenza Rita D’Urso · Alice Finocchiaro · Grazia Cinardi · Claudia Arcidiacono
- Année déclarée
- 2025
- Langue déclarée
- en
- Type source
- article
- Première détection
- 2026-11-14T02:40:10.285011+00:00
- Dernière observation des métadonnées
- 2026-11-14T02:40:10.285011+00:00
- Dernière vérification HTTP
- Non effectuée
Institutions déclarées par la source
University of Catania
Pays d’affiliation déclarés
IT
Résumé documentaire — langue originale
) 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.
Identifiants
- OPENALEX
- https://openalex.org/W4413104090
- DOI
- 10.3390/s25164987
- PMID
- https://pubmed.ncbi.nlm.nih.gov/40871850
- PMCID
- https://www.ncbi.nlm.nih.gov/pmc/articles/12390101
Repères documentaires
- Famille documentaire
- article
- Types déclarés par les sources
- article
- Éditeurs
- Multidisciplinary Digital Publishing Institute
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Sources
OpenAlex · Document 1
Citer cette référence
Provvidenza Rita D’Urso; Alice Finocchiaro; Grazia Cinardi; Claudia Arcidiacono. In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings. 2025. https://doi.org/10.3390/s25164987
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- APA
- Provvidenza Rita D’Urso; Alice Finocchiaro; Grazia Cinardi; Claudia Arcidiacono. (2025). In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings. https://doi.org/10.3390/s25164987
- Chicago
- Provvidenza Rita D’Urso; Alice Finocchiaro; Grazia Cinardi; Claudia Arcidiacono. In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings. 2025. https://doi.org/10.3390/s25164987
- ISO 690
- Provvidenza Rita D’Urso; Alice Finocchiaro; Grazia Cinardi; Claudia Arcidiacono. In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings. 2025. https://doi.org/10.3390/s25164987
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UDTR — Bibliothèque juridique mondiale des droits de la Nature. In-Field Performance Evaluation of an IoT Monitoring System for Fine Particulate Matter in Livestock Buildings. Notice documentaire: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-d3bbd37f21ad9f31299badeb77c0be1b/ · Dernière vérification HTTP : non effectuée
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Source bibliographique / publication d’origine · https://doi.org/10.3390/s25164987
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