Field Testing of Low-Cost PM Sensors in Animal Production Facilities

Seyit Uğuz; Pradeep Kumar; Shalini Tiwari; Young Chang; Xufei Yang

Makale detayları

Field Testing of Low-Cost PM Sensors in Animal Production Facilities

Yazarlar:

Seyit Uğuz | Pradeep Kumar | Shalini Tiwari | Young Chang | Xufei Yang

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

Biyosistem

Dergi:

Tekirdağ Ziraat Fakültesi Dergisi Vol.22 Issue 3, pp.732-747

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358516

pISSN:

1302-7050

Anahtar kelimeler:

Özet:

 The measurement of particulate matter PM in animal housing environments is crucial for ensuring the health and well-being of both animals and human workers. High concentrations of PM can lead to respiratory issues, reduced productivity, and compromised animal welfare. The affordability and compact design of low-cost PM sensors present an opportunity to enhance spatiotemporal resolution in PM measurements. However, these low-cost sensors have certain limitations and require characterization in dusty environments such as animal production facilities. This study examines eight low-cost PM sensors PMS5003, PMS7003, OPC-R2, OPC-N3, Gravity, SDS011, GP2Y1010, and PPD42 for their performance in monitoring PM1, PM2.5, and PM10 concentrations in animal houses. It details sensor components, hardware integration, and field deployment, along with preliminary testing in farm office and production room environments. A GRIMM 11-D aerosol spectrometer was used as the reference monitor. The OPC-N3 sensor showed high linearity against the reference monitor in the office, with R2 values higher than 0.97, but this correlation dropped to 0.40-0.59 in the production room due to increased particle concentration affecting sensor sensitivity. Meanwhile, the PMS7003 sensor excelled in PM1 measurements with an R² value of 0.90, performing well in production settings, in contrast to its performance in the office. The SDS011 sensor also demonstrated good performance in production environments. Preliminary results suggest that while these sensors effectively measure PM levels under certain conditions, their performance varies significantly depending on environmental factors such as dust concentration, temperature, and relative humidity. The necessity for rigorous field testing and calibration is emphasized to enhance the reliability and accuracy of these sensors in monitoring indoor air quality in agricultural settings. Further research and field testing are essential to validate sensor performance and ensure their effectiveness across diverse environmental conditions.

 The measurement of particulate matter PM in animal housing environments is crucial for ensuring the health and well-being of both animals and human workers. High concentrations of PM can lead to respiratory issues, reduced productivity, and compromised animal welfare. The affordability and compact design of low-cost PM sensors present an opportunity to enhance spatiotemporal resolution in PM measurements. However, these low-cost sensors have certain limitations and require characterization in dusty environments such as animal production facilities. This study examines eight low-cost PM sensors PMS5003, PMS7003, OPC-R2, OPC-N3, Gravity, SDS011, GP2Y1010, and PPD42 for their performance in monitoring PM1, PM2.5, and PM10 concentrations in animal houses. It details sensor components, hardware integration, and field deployment, along with preliminary testing in farm office and production room environments. A GRIMM 11-D aerosol spectrometer was used as the reference monitor. The OPC-N3 sensor showed high linearity against the reference monitor in the office, with R2 values higher than 0.97, but this correlation dropped to 0.40-0.59 in the production room due to increased particle concentration affecting sensor sensitivity. Meanwhile, the PMS7003 sensor excelled in PM1 measurements with an R² value of 0.90, performing well in production settings, in contrast to its performance in the office. The SDS011 sensor also demonstrated good performance in production environments. Preliminary results suggest that while these sensors effectively measure PM levels under certain conditions, their performance varies significantly depending on environmental factors such as dust concentration, temperature, and relative humidity. The necessity for rigorous field testing and calibration is emphasized to enhance the reliability and accuracy of these sensors in monitoring indoor air quality in agricultural settings. Further research and field testing are essential to validate sensor performance and ensure their effectiveness across diverse environmental conditions.

 The measurement of particulate matter PM in animal housing environments is crucial for ensuring the health and well-being of both animals and human workers. High concentrations of PM can lead to respiratory issues, reduced productivity, and compromised animal welfare. The affordability and compact design of low-cost PM sensors present an opportunity to enhance spatiotemporal resolution in PM measurements. However, these low-cost sensors have certain limitations and require characterization in dusty environments such as animal production facilities. This study examines eight low-cost PM sensors PMS5003, PMS7003, OPC-R2, OPC-N3, Gravity, SDS011, GP2Y1010, and PPD42 for their performance in monitoring PM1, PM2.5, and PM10 concentrations in animal houses. It details sensor components, hardware integration, and field deployment, along with preliminary testing in farm office and production room environments. A GRIMM 11-D aerosol spectrometer was used as the reference monitor. The OPC-N3 sensor showed high linearity against the reference monitor in the office, with R2 values higher than 0.97, but this correlation dropped to 0.40-0.59 in the production room due to increased particle concentration affecting sensor sensitivity. Meanwhile, the PMS7003 sensor excelled in PM1 measurements with an R² value of 0.90, performing well in production settings, in contrast to its performance in the office. The SDS011 sensor also demonstrated good performance in production environments. Preliminary results suggest that while these sensors effectively measure PM levels under certain conditions, their performance varies significantly depending on environmental factors such as dust concentration, temperature, and relative humidity. The necessity for rigorous field testing and calibration is emphasized to enhance the reliability and accuracy of these sensors in monitoring indoor air quality in agricultural settings. Further research and field testing are essential to validate sensor performance and ensure their effectiveness across diverse environmental conditions.

 Hayvan barınakları iç ortamında partikül maddelerin PM izlenmesi hem barındırılan hayvanların hem de çiftlik çalışanlarının sağlık ve refahının sağlanması için oldukça önemlidir. Yüksek düzeyde organic partiküllere ve kirletici gazlara maruz kalan çiftlik çalışanları, yaşlandıkça solunum yolu hastalıklarına daha duyarlı hale gelmektedirler. Düşük maliyetli sensörlerin ekonomikliği ve kompakt tasarımı, PM ölçümlerinde uzamsal-zamansal çözünürlüğü artırmak için bir fırsat sunmaktadır. Bu çalışmada, hayvan barınaklarından salınan PM1, PM2.5 ve PM10 konsantrasyonlarının izlenmesi için düşük maliyetli PM sensörlerinin geliştirilmesi ve geliştirilen sistemin ön denemelerinin yapılması amaçlanmıştır. Çalışmada, düşük maliyetli 8 adet PM sensörlerinin PMS5003, PMS7003, OPC-R2, OPC-N3, Gravity, SDS011, GP2Y1010, PPD42 donanım, sensör bileşenleri ve kurulum süreçlerinin yanı sıra hayvansal üretim tesislerinde ofis ve barınak ortamında ön testleri ve referans PM ölçer ile karşılaştırması yapılmıştır. OPC-N3 sensörü, ofis ortamında referans monitörle yüksek korelasyon göstermiştir 0.97-0.98 ancak bu korelasyon barınak iç ortamında 0.40-0.59 değerlerine düşmüştür. Bunun sebebi ise barınak iç ortamında artan partikül konsantrasyonlarının sensor hassasiyetini etkilediği düşünülmektedir. Bu arada PMS7003 sensörü PM1 ölçümlerinde yüksek korelasyon değeri ile R²: 0.90 ile ofis ortamının aksine barınak iç ortamında daha iyi bir performans göstermiştir. SDS011 sensörü de barınak iç ortamında daha iyi performans göstermiştir. Ön sonuçlar, bu sensörlerin belirli çevre koşulları altında PM seviyelerini etkili bir şekilde ölçerken, performanslarının toz, sıcaklık ve bağıl nem gibi çevresel faktörlere bağlı olarak önemli ölçüde değiştiğini göstermektedir. Hayvansal üretim yapılarında iç mekân hava kalitesinin izlenmesinde bu sensörlerin güvenilirliğini ve doğruluğunu artırmak için detaylı saha testleri ve kalibrasyonunun gerekliliği vurgulanmaktadır. Düşük maliyetli PM sensörlerinin performansının doğrulanması ve farklı çevresel koşullarda etkinliklerinin arttırılması için daha fazla araştırma ve saha testi yapılması gerekmektedir.

Makale detayları

Field Testing of Low-Cost PM Sensors in Animal Production Facilities

Yazarlar:

Seyit Uğuz | Pradeep Kumar | Shalini Tiwari | Young Chang | Xufei Yang

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

Biyosistem

Dergi:

Tekirdağ Ziraat Fakültesi Dergisi Vol.22 Issue 3, pp.732-747

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358516

pISSN:

1302-7050

Particulate matter

Low-cost sensors

Air quality

Animal houses

MeasurementPartiküler madde

Düşük maliyetli sensör

Hava kalitesi

Hayvan barınakları

Ölçme

Sayı

Makale detayları

Yazarlar: Seyit Uğuz | Pradeep Kumar | Shalini Tiwari | Young Chang | Xufei Yang

Yayıncı: Tekirdag Namik Kemal University

Ana Başlıklar: Biyosistem

Dergi: Tekirdağ Ziraat Fakültesi Dergisi Vol.22 Issue 3, pp.732-747

Belge Tipi: Makale

Yayın Tarihi: 9/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001358516

pISSN: 1302-7050

Sayı

Yazarlar:

Seyit Uğuz | Pradeep Kumar | Shalini Tiwari | Young Chang | Xufei Yang

Yayıncı:

Tekirdag Namik Kemal University

Ana Başlıklar:

Biyosistem

Dergi:

Tekirdağ Ziraat Fakültesi Dergisi Vol.22 Issue 3, pp.732-747

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358516

pISSN:

1302-7050