ARI KOVANLARININ ÇEVRESEL VE AKUSTİK VERİLERE DAYALI DURUM ANALİZİ: NORMAL VE ÖZEL KOŞULLARIN KARŞILAŞTIRILMASI

Yeliz Durgun; Mahmut Durgun

doi:10.17780/ksujes.1577380

EN TR

ENVIRONMENTAL AND ACOUSTIC DATA-BASED STATUS ANALYSIS OF THE HONEYBEE COLONIES: A COMPARİSON OF NORMAL AND SPECIAL CONDITIONS

Abstract

The continuous and accurate monitoring of bee colony health and activity is crucial for the conservation of bee populations and the support of sustainable agricultural practices. Our study aims to effectively monitor the status of bee colonies by integrating environmental and acoustic sensor data. This includes the analysis of environmental parameters such as CO2 and Total Volatile Organic Compounds (TVOC) concentrations, temperature, and humidity, along with the analysis of acoustic data. The methodology employed involves the time-series analysis of data obtained from various environmental sensors and the extraction of spectral features from audio files. An outlier analysis is applied during the analytical process to distinguish between normal and special conditions. Our results indicate significant temporal changes in environmental parameters. Notably, substantial increases in CO2 and TVOC concentrations were observed under special conditions (CO2: from 1200 ppm to 1450 ppm, TVOC: from 0 ppb to 450 ppb). Additionally, acoustic analysis revealed distinct spectral feature differences between the two conditions. In conclusion, our research confirms that the combination of environmental and acoustic sensor data enables comprehensive and accurate monitoring of bee colony status. The findings suggest that this integrated approach can be a valuable tool for monitoring applications.

Keywords

ARI KOVANLARININ ÇEVRESEL VE AKUSTİK VERİLERE DAYALI DURUM ANALİZİ: NORMAL VE ÖZEL KOŞULLARIN KARŞILAŞTIRILMASI

Öz

Arı kolonilerinin sağlık ve faaliyetlerine ilişkin sürekli ve doğru bilgi elde etmek, arı popülasyonlarının korunması ve sürdürülebilir tarım uygulamalarının desteklenmesi için hayati öneme sahiptir. Çalışmamız, çevresel ve akustik sensör verilerini bütünleştirerek arı kolonilerinin durumunu etkin şekilde izlemeyi hedeflemektedir. Özellikle çalışmada CO2 konsantrasyonu, TVOC konsantrasyonu, sıcaklık ve nem gibi çevresel parametrelerin yanı sıra akustik verilerin analizi de yer almaktadır. Kullanılan yöntem, çeşitli çevresel sensörlerden elde edilen verilerin zaman serisi analizi ve ses dosyalarından spektral özelliklerin çıkarılmasını içermektedir. Analiz sürecinde, normal ve özel koşulları ayırt etmek için aykırı değer analizi uygulanmıştır. Sonuçlarımız, çevresel parametrelerde zamanla önemli değişiklikler olduğunu göstermektedir. Özellikle, özel koşullarda CO2 ve TVOC konsantrasyonlarında önemli artışlar gözlemlenmiştir (CO2: 1200 ppm'den 1450 ppm'ye, TVOC: 0 ppb'den 450 ppb'ye). Ayrıca, ses analizi, iki koşul arasında belirgin spektral özellik farkları göstermiştir. Sonuç olarak, araştırmamız, çevresel ve akustik sensör verilerinin birleşiminin arı kolonilerinin durumunu kapsamlı ve doğru izlememize olanak sağladığını doğrulamaktadır. Bulgular, bu tür bir yaklaşımın izleme uygulamaları için değerli bir araç olabileceğini önermektedir.

Anahtar Kelimeler

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Details

Primary Language

Turkish

Subjects

Neural Networks

Journal Section

Research Article

Authors

Yeliz Durgun ^*
0000-0003-3834-5533
Türkiye

Mahmut Durgun
0000-0002-5010-687X
Türkiye

Publication Date

March 3, 2025

Submission Date

November 1, 2024

Acceptance Date

December 26, 2024

Published in Issue

Year 2025 Volume: 28 Number: 1

DOI

https://doi.org/10.17780/ksujes.1577380

IZ

https://izlik.org/JA67HM55KS

Cite

RIS / Bibtex

APA

Durgun, Y., & Durgun, M. (2025). ARI KOVANLARININ ÇEVRESEL VE AKUSTİK VERİLERE DAYALI DURUM ANALİZİ: NORMAL VE ÖZEL KOŞULLARIN KARŞILAŞTIRILMASI. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 414-429. https://doi.org/10.17780/ksujes.1577380

Cited By

KENAR BİLİŞİM TABANLI OTOMATİK KALİTE ANALİZİ: KAYNAK SÜREÇLERİNDE SES VERİSİNİN KULLANIMI

Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi

https://doi.org/10.17780/ksujes.1673438