Web-Based Environmental Monitoring System Design and Dust Concentration Modeling for Dairy Barns

Year 2024, Volume: 41 Issue: 3, 218 - 225, 31.12.2024

Umut Efe Yonar , Buğra Uysal , Ünal Kızıl

https://doi.org/10.55507/gopzfd.1572966

Abstract

This study focuses on designing and evaluating a web-based environmental conditions monitoring system for dairy barns, targeting dust concentration and temperature/humidity levels. A prototype device integrating Arduino technology with GSM module was developed to enable real-time data transmission to a web-based platform. The system was tested in a small-scale dairy barn, where it effectively monitored dust, temperature, and humidity while calculating the Temperature Humidity Index (THI). Statistical analysis using multiple regression (MR) and artificial neural networks (ANN) revealed that temperature and humidity significantly influence dust concentrations, with both models achieving strong predictive performance (MR: R² = 0.7, ANN: R² = 0.71). These results indicate that both methods can accurately predict dust levels based on environmental conditions. This low-cost solution not only improves air quality monitoring but also offers a viable tool for controlling heat stress in dairy barns, enhancing animal welfare and productivity. The system's affordability makes it accessible for small family farms and adaptable for broader agricultural applications.

Keywords

Air quality, Arduino, dairy cattle, dust concentration, temperature humidity index.

Supporting Institution

TÜBİTAK 2209-A - Üniversite Öğrencileri Araştırma Projeleri Destekleme Programı tarafından desteklenmiştir.

Thanks

The project was supported by TÜBİTAK 2209-A University Students Research Projects Support Program. We would like to thank Dr. Sefa Aksu for his technical support during the project. Also, the abstract of the project was presented in International Balkan Agricultural Congress, 2024.

Süt Sığırı Ahırları İçin Web Tabanlı Çevre İzleme Sistemi Tasarımı ve Toz Konsantrasyon Modellemesi

Abstract

Bu çalışmada, süt ahırları için toz konsantrasyonu ve sıcaklık/nem seviyelerini ölçmeyi hedefleyen web tabanlı bir çevre koşulları izleme sistemi tasarımı ve değerlendirilmesi amaçlanmıştır. GSM modülüyle Arduino teknolojisini entegre eden bir prototip cihaz, web tabanlı bir platforma gerçek zamanlı veri iletimi sağlamak için geliştirilmiştir. Sistem, Sıcaklık Nem İndeksi'ni (THI) hesaplayarak tozu, sıcaklığı ve nemi etkili bir şekilde izlediği küçük ölçekli bir süt sığırı ahırında test edilmiştir. Çoklu regresyon (MR) ve yapay sinir ağları (ANN) kullanılarak yapılan istatistiksel analiz, sıcaklık ve nemin toz konsantrasyonlarını önemli ölçüde etkilediğini ve her iki modelin de güçlü tahmin performansına ulaştığını ortaya koymuştur (YSA: R² = 0,7, YSA: R² = 0,71). Bu sonuçlar, her iki yöntemin de çevre koşullarına bağlı olarak toz seviyelerini doğru bir şekilde tahmin edebileceğini göstermektedir. Bu düşük maliyetli çözüm yalnızca hava kalitesi izlemeyi iyileştirmekle kalmayıp aynı zamanda süt ahırlarında ısı stresini kontrol etmek, hayvan refahını ve üretkenliğini artırmak için uygulanabilir bir araç sunmaktadır. Sistemin uygun fiyatlı olması, onu küçük aile çiftlikleri için erişilebilir ve daha geniş tarımsal uygulamalar için uyarlanabilir hale getirmektedir.

Keywords

Hava kalitesi, Arduino, süt sığırı, toz konsantrasyonu, sıcaklık nem indeksi.

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