Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q4
Design of a Database and Modules for IoT-Based Data Exchange in Herd Management Systems
Control Engineering and Applied Informatics · Ocak 2024
YÖKSİS Kayıtları
Design of a Database and Modules for IoT-Based Data Exchange in Herd Management Systems
Journal of Control Engineering and Applied Informatics · 2024 SCI-Expanded
Dr. Öğr. Üyesi KAMİL AYKUTALP GÜNDÜZ →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Remote Control of the Temperature Humidity and Climate in the Beehives with Solar Powered Thermoelectric System
2012 ISSN: 1454-8658 SCI-Expanded 5 atıf
Prof. Dr. ADEM ALPASLAN ALTUN →
A Machine Learning Framework to Identify the Causes of HbA1c in Patients With Type 2 Diabetes Mellitus
2019 ISSN: 1454-8658 SCI
Prof. Dr. ADEM ALPASLAN ALTUN →
A Hybrid Approach Based on Machine Learning to Identify the Causes of Obesity
2020 ISSN: 1454-8658 SCI-Expanded
Prof. Dr. ADEM ALPASLAN ALTUN →
Design of a Database and Modules for IoT-Based Data Exchange in Herd Management Systems
2024 ISSN: 1454-8658 SCI-Expanded Q4
Dr. Öğr. Üyesi KAMİL AYKUTALP GÜNDÜZ →
Design of a Database and Modules for IoT-Based Data Exchange in Herd Management Systems
2024 ISSN: 1454-8658 SCI-Expanded Q4
Prof. Dr. FATİH BAŞÇİFTÇİ →
Makale Bilgileri
ISSN14548658
Yayın TarihiOcak 2024
Cilt / Sayfa26 · 44-52
Scopus ID2-s2.0-85189451179
Erişim🔓 Açık Erişim
Özet
Monitoring and recording the behavior of cattle in their environment with human eyes is one of the most challenging tasks in herd management systems. Labeling this type of movement in animals that usually act according to their habits and conveying them to the authorized veterinarians is difficult. Herd tracking systems are constantly being developed to record and interpret animal behavior and to make early diagnosis against diseases. Certain symptoms can be detected by monitoring the animals' behavior during the day for long periods of time or by monitoring their abnormal behavior and bodily discharge (spit, feces, sweat, etc.). Biosensors are devices that transform physical and behavioral bodily responses in animals with electronic signals. Real-time monitoring and assessing herd management is essential for increasing productivity and animal welfare in animal husbandry. Internet of Things (IoT) is a technology that is in frequent use and provides remarkable solutions for such systems. This study introduces a system solution that, in addition to having all the features that should be present in a herd management system, is compatible with IoT technology that can be attached to the bodies of the cattle, logs the data from biosensors in the system via wireless communication, presents the data to the user graphically, and can be monitored over the web. IoT-aided microcontrollers provide wireless communication, high-speed data transmission, and low power consumption. The system offers a solution that allows for real-time data monitoring and establishing a control system.
Yazarlar (2)
1
Kamil Aykutalp Gündüz
2
Fatih Başçiftçi
Anahtar Kelimeler
Animal monitoring
database
herd management
internet of things
productivity
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Control Engineering and Applied Informatics
Q4
SJR Skoru0,204
H-Index24
YayıncıRomanian Society of Control Engineering and Technical Informatics
ÜlkeRomania
Computer Science (miscellaneous) (Q4)
Electrical and Electronic Engineering (Q4)
Metrikler
1
Atıf
2
Yazar
5
Anahtar Kelime