CATTLE HEALTH MONITORING BASED ON IOT

Authors

  • Sreelekha T. Student, Department of NEMS, Institute of ECE, saveetha school of engineering, SIMATS, Chennai, Tamil nadu, India Author
  • Dass P. Assistant Professor, Department of NEMS, Institute of ECE, saveetha school of engineering, SIMATS, Chennai, Tamil nadu, India Author

DOI:

https://doi.org/10.61841/myjt3n64

Keywords:

sensors, wireless transmission, physiological parameters, temperature humidity

Abstract

Animal breeding is an increasingly popular enterprise in which animals are fed food and other products. The livestock farm's output is largely determined by the animal's health conditions. The profitability of the entire farm will dramatically decline from cattle with a communicable disease. Therefore, unhealthy cattle should be identified. IoT may play a significant role in the creation of an autonomous health surveillance network for animals in this sense. A framework comprising data storage, mobile nodes, and an IoT cloud platform is built in this project. The data collection node is fed by different sensors for the identification of animal health parameters and is transferred to the mobile node. The smart phone node acts as a portal into the IoT cloud network for data processing of sensing data to recognize sick animals and notifies the farm owner and veterinarian. 

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References

1. Shinde, Tejaswinee A., and Jayashree R. Prasad. "IoT-based animal health monitoring with naive Bayes classification." IJETT 1, no. 2 (2017).

2. Sharma, Bhisham, and Deepika Koundal. "Cattle health monitoring system using wireless sensor network: a survey from innovation perspective." IET Wireless Sensor Systems 8, no. 4 (2018): 143-151.

3. Aswini, D., Santhya, S., Nandheni, T.S., and Sukirthini, N., 2017. Cattle health and environment monitoring system. In IRJET (Vol. 4). Maret.

4. Saravanan, K., and S. Saraniya. "Cloud IOT-based novel livestock monitoring and identification system using UID." Sensor Review (2018).

5. Ilapakurti, A., and Vuppalapati, C., 2015, March. Building an IoT framework for connected dairy. In 2015 IEEE First International Conference on Big Data Computing Service and Applications (pp. 275-285). IEEE.

6. Gokul, V., and Sitaram Tadepalli. "Implementation of smart infrastructure and non-invasive wearables for real-time tracking and early identification of diseases in cattle farming using IoT." In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics, and Cloud) (I-SMAC), pp. 469-476. IEEE, 2017.

7. Taneja, Mohit, John Byabazaire, Alan Davy, and Cristian Olariu. "Fog-assisted application support for animal behaviour analysis and health monitoring in dairy farming." In 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 819-824. IEEE, 2018.

8. Suresh, Akhila, and T. V. Sarath. "An IoT Solution for Cattle Health Monitoring." In IOP Conference Series: Materials Science and Engineering, vol. 561, no. 1, p. 012106. IOP Publishing, 2019.

9. Suresh, Akhila, and T. V. Sarath. "An IoT Solution for Cattle Health Monitoring." In IOP Conference Series: Materials Science and Engineering, vol. 561, no. 1, p. 012106. IOP Publishing, 2019.

10. Lee, In, and Kyoochun Lee. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises." Business Horizons 58, no. 4 (2015): 431-440.

11. Khan, Minhaj Ahmad, and Khaled Salah. "IoT security: review, blockchain solutions, and open challenges." Future Generation Computer Systems 82 (2018): 395-411.

12. Chen, Shanzhi, Hui Xu, Dake Liu, Bo Hu, and Hucheng Wang. "A vision of IoT: Applications, challenges, and opportunities with a Chinese perspective." IEEE Internet of Things journal 1, no. 4 (2014): 349-359.

13. Maharaja, D., & Shaby, M. (2017). “Empirical Wavelet Transform and GLCM Features Based Glaucoma Classification from Fundus Image.” International Journal of MC Square Scientific Research, 9(1), 78-85.

14. Saravanan, N. (2013). “Hand Geometry Recognition based on Optimized K-means Clustering and Segmentation Algorithm.” International Journal of MC Square Scientific Research, 5(1), 11-14.

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Published

30.04.2020

How to Cite

T. , S., & P. , D. (2020). CATTLE HEALTH MONITORING BASED ON IOT. International Journal of Psychosocial Rehabilitation, 24(2), 5627-5631. https://doi.org/10.61841/myjt3n64