Scopus
🔓 Açık Erişim YÖKSİS DOI Eşleşti
SJR Q3
Collecting information on estrus in cattle using the internet of things
Arquivo Brasileiro De Medicina Veterinaria E Zootecnia · Ocak 2023
YÖKSİS Kayıtları
Collecting information on estrus in cattle using the internet of things
Arquivo Brasileiro de Medicina Veterinária e Zootecnia · 2023 SCI-Expanded
Prof. Dr. FATİH BAŞÇİFTÇİ →
Collecting information on estrus in cattle using the internet of things
FapUNIFESP (SciELO) · 2023 SCI-Expanded
Dr. Öğr. Üyesi KAMİL AYKUTALP GÜNDÜZ →
YÖKSİS Kayıtları — ISSN Eşleşmesi
The relationship between consumption of animal products and expenditure levels with Quality of Life Scores (SF-36) by veterinary students in Turkey
2020 ISSN: 0102-0935 SCI-Expanded Q4
Doç. Dr. BURAK MAT →
The relationship between consumption of animal products and expenditure levels with Quality of Life Scores (SF-36) by veterinary students in Turkey
2020 ISSN: 0102-0935 SCI-Expanded
Prof. Dr. MUSTAFA BAHADIR ÇEVRİMLİ →
IoT-Based pH monitoring for detection of rumen acidosis
2022 ISSN: 0102-0935 SCI-Expanded Q4
Dr. Öğr. Üyesi KAMİL AYKUTALP GÜNDÜZ →
Determination of risk factors in cattle and small ruminant livestock enterprises from the perspective of animal life insurance: a case study in Turkey
2022 ISSN: 0102-0935 SCI-Expanded
Prof. Dr. MUSTAFA BAHADIR ÇEVRİMLİ →
Determination of risk factors in cattle and small ruminant livestock enterprises from the
perspective of animal life insurance: a case study in Turkey
2022 ISSN: 0102-0935 Crossref
Prof. Dr. AYTEKİN GÜNLÜ →
Reproductive and economic evaluation of sexual stimulation during the anestrous period
in a commercial farm with neonatal lamb losses
2023 ISSN: 0102-0935 SCI Q4
Doç. Dr. SAKİNE ÜLKÜM ÇİZMECİ →
Collecting information on estrus in cattle using the internet of things
2023 ISSN: 0102-0935 SCI-Expanded Q4
Prof. Dr. FATİH BAŞÇİFTÇİ →
Collecting information on estrus in cattle using the internet of things
2023 ISSN: 0102-0935 SCI-Expanded Q4
Dr. Öğr. Üyesi KAMİL AYKUTALP GÜNDÜZ →
Evaluation of the entrepreneurial potential of the clinical veterinarians using the Turkish version of the entrepreneurial potential assessment inventory (EPAI-TR)
2024 ISSN: 0102-0935 SCI-Expanded Q4
Doç. Dr. BURAK MAT →
Evaluation of the entrepreneurial potential of the clinical veterinarians using the Turkish version of the entrepreneurial potential assessment inventory (EPAI-TR)
2024 ISSN: 0102-0935 SCI-Expanded
Prof. Dr. MUSTAFA BAHADIR ÇEVRİMLİ →
Cattle enterprise score scale in animal life insurance in Turkey: a study of validity and reliability
2025 ISSN: 0102-0935 SCI-Expanded Q4
Prof. Dr. AYTEKİN GÜNLÜ →
Makale Bilgileri
ISSN01020935
Yayın TarihiOcak 2023
Cilt / Sayfa75 · 599-611
Scopus ID2-s2.0-85166031067
Erişim🔓 Açık Erişim
Özet
Monitoring the movements of ruminant animals is one of the most challenging tasks. In animals that act according to their habits, it is difficult to label such movements and transfer them to farmers. Monitoring and recording the movement and behavior of animals on a farm is an adopted method for successfully determining the duration of the estrus cycle in ruminant animals. The Internet is a technology that offers remarkable solutions for such applications. The aim of this study is to determine the hourly step counts and to find the estrus period in the most accurate way with a circuit design applied to the ankles of animals using an IoT-supported microcontroller. The data is transferred to the web environment wirelessly and monitored via wi-fi communication signals. This wireless wearable and network equipment determines the step count and monitors the animal's abnormal body temperature. An IoT-supported microcontroller provides wireless communication, high-speed data transmission, and low power consumption. Insemination was ensured by testing different animals on the application farm. The data is monitored in real-time, and the system gives an alert. Low cost, high reliability, and being able to be watched over the internet are the advantages of the system. This study helped develop new techniques and provided a low-cost proposition for testing wearable technologies on animals.
Yazarlar (2)
1
Kamil Aykutalp Gündüz
2
Fatih Başçiftçi
Anahtar Kelimeler
estrus
internet of things
monitoring
pedometer
tracking
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Arquivo Brasileiro de Medicina Veterinaria e Zootecnia
Q3
OA
SJR Skoru0,241
H-Index38
YayıncıUniversidade Federal de Minas Gerais
ÜlkeBrazil
Veterinary (miscellaneous) (Q3)
Metrikler
3
Atıf
2
Yazar
5
Anahtar Kelime