Internet-based cattle health monitoring system using raspberry Pi

https://doi.org/10.53730/ijhs.v6nS1.8572

Authors

  • Arhath Kumar Assistant professor, Department of MCA, NMAM Institute of Technology, Nitte, India
  • V Harsha Vardhan Assistant Professor, Department of Master of Computer Applications, SreeVidyanikethan Engineering College, Tirupati, Andhrapradesh, India
  • Swetha J Lecturer, Department of Electronics and Communication, S.J (Government) Evening Polytechnic, Bangalore-01
  • Priya R Shanmuga Assistant Professor, Department of Computer Science and Engineering, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, India
  • Priyanka Mishra Assistant professor, Department of CSE, Oriental college of technology, Bhopal, Madhya Pradesh, India

Keywords:

Internet of Things, sensors, raspberry pi, temperature measurement, alert message

Abstract

Cattle farming is one of the major branches of agriculture. People who grew and monitor cattle often don’t have just a few of them. Instead, they have many numbers of cows, horses, oxen, etc. When the number of cattle increases, it becomes tougher for the one who maintains the cattle to check up on their health individually. To resolve this issue, this study aims the development of an IoT system that is capable of monitoring the temperature and heartbeat rate of the sensor periodically. This is achieved using sensors like temperature sensors, heartbeat rate sensors, etc. It also uses software like ThingSpeak, Rasbian OS, etc. The temperature of the cattle is measured with a temperature sensor and transmitted to the raspberry pi. The heart rate sensor also sends data about the cattle's heartbeat rate to the pi. The GPS sends the cattle's latitude and longitude to the module. The information is then sent to the ThingSpeak software. The data collected by the sensors is displayed by ThingSpeak software. The data includes the temperature of the cow, the heartbeat rate of the cattle, and the latitude and longitude details of the cow.

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References

C. Li et al., "Data Augmentation for Inertial Sensor Data in CNNs for Cattle Behavior Classification," in IEEE Sensors Letters, vol. 5, no. 11, pp. 1-4, Nov. 2021, Art no. 7003104, doi: 10.1109/LSENS.2021.3119056.

S. N. Swamy and S. R. Kota, "An Empirical Study on System Level Aspects of Internet of Things (IoT)," in IEEE Access, vol. 8, pp. 188082-188134, 2020, doi: 10.1109/ACCESS.2020.3029847.

W. A. Jabbar et al., "Design and Fabrication of Smart Home Withthe Internet of Things Enabled Automation System," in IEEE Access, vol. 7, pp. 144059-144074, 2019, doi: 10.1109/ACCESS.2019.2942846.

M. N. Ab Wahab, A. Nazir, A. T. Zhen Ren, M. H. Mohd Noor, M. F. Akbar and A. S. A. Mohamed, "Efficientnet-Lite and Hybrid CNN-KNN Implementation for Facial Expression Recognition on Raspberry Pi," in IEEE Access, vol. 9, pp. 134065-134080, 2021, doi: 10.1109/ACCESS.2021.3113337.

S. T. Gutiérrez, C. I. Fuentes and M. A. Díaz, "Introducing SOST: An Ultra-Low-Cost Star Tracker Concept Based on a Raspberry Pi and Open-Source Astronomy Software," in IEEE Access, vol. 8, pp. 166320-166334, 2020, doi: 10.1109/ACCESS.2020.3020048.

Y. Yin, T. Nie and M. Ding, "Temperature Sensor Based on Microbottle Resonator Immersed in Isopropanol," in IEEE Photonics Journal, vol. 13, no. 3, pp. 1-7, June 2021, Art no. 7100807, doi: 10.1109/JPHOT.2021.3081716.

M. Ji, X. Meng, J. Nie, Y. Wang and L. Lin, "A New Type of Bionics Based Piezoelectric Heartbeat Sensor Used in Pulse-Taking for Health Warning," 2018 IEEE SENSORS, 2018, pp. 1-4, doi: 10.1109/ICSENS.2018.8589641.

C. S. Raveena, R. S. Sravya, R. V. Kumar and A. Chavan, "Sensor Fusion Module Using IMU and GPS Sensors For Autonomous Car," 2020 IEEE International Conference for Innovation in Technology (INOCON), 2020, pp. 1-6, doi: 10.1109/INOCON50539.2020.9298316.

G. M., S. Raviteja, S. S. and R. Mahalakshmi, "Data Acquisition For Residential Energy Management Employing IoT Using ThingSpeak," 2019 IEEE Region 10 Symposium (TENSYMP), 2019, pp. 272-276, doi: 10.1109/TENSYMP46218.2019.8971366.

N. B. Kamarozaman and A. H. Awang, "IOT COVID-19 Portable Health Monitoring System using Raspberry Pi, Node-Red and ThingSpeak," 2021 IEEE Symposium on Wireless Technology & Applications (ISWTA), 2021, pp. 107-112, doi: 10.1109/ISWTA52208.2021.9587444.

P. Gallus and P. Frantis, "Security analysis of the Raspbian Linux operating system and its settings to increase resilience against attacks via network interface," 2021 International Conference on Military Technologies (ICMT), 2021, pp. 1-5, doi: 10.1109/ICMT52455.2021.9502746.

S. Ma et al., "Development of Noncontact Body Temperature Monitoring and Prediction System for Livestock Cattle," in IEEE Sensors Journal, vol. 21, no. 7, pp. 9367-9376, 1 April1, 2021, doi: 10.1109/JSEN.2021.3056112.

Rinartha, K., Suryasa, W., & Kartika, L. G. S. (2018). Comparative Analysis of String Similarity on Dynamic Query Suggestions. In 2018 Electrical Power, Electronics, Communications, Controls and Informatics Seminar (EECCIS) (pp. 399-404). IEEE.

Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Get vaccinated when it is your turn and follow the local guidelines. International Journal of Health Sciences, 5(3), x-xv. https://doi.org/10.53730/ijhs.v5n3.2938

Published

07-06-2022

How to Cite

Kumar, A., Vardhan, V. H., Swetha, J., Shanmuga, P. R., & Mishra, P. (2022). Internet-based cattle health monitoring system using raspberry Pi. International Journal of Health Sciences, 6(S1). https://doi.org/10.53730/ijhs.v6nS1.8572

Issue

Section

Peer Review Articles