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Current IssueEditorial BoardOnline First ArticlesArchive

volume 48 issue 6 (december 2014) : 625-627,   Doi: 10.5958/0976-0555.2014.00044.2

HEALTH MONITORING AND MANAGEMENT SYSTEM FOR DAIRY ANIMALS

C
C. Yaashuwanth*
C
C. Gopinath1
P
P. Prabhavathy2
1Department of Information Technology, SRM University, Kattankulathur-603 203, India
Cite article:- Yaashuwanth* C., Gopinath1 C., Prabhavathy2 P. (2025). HEALTH MONITORING AND MANAGEMENT SYSTEM FOR DAIRY ANIMALS. Indian Journal of Animal Research. 48(6): 625-627. doi: 10.5958/0976-0555.2014.00044.2.

ABSTRACT

This paper presents Autonomous Health Monitoring System (AHMS) for dairy animals to detect the health condition of animals in real time environment. It deals with creating a solution for fully automated monitoring animal health system by providing information to the user via SMS regarding animal health condition. AHMS uses several sensors that are mounted around the neck of the dairy animals by means of collar belts. The main sensors that are used in this system are motion sensor, piezoelectric sensor, air flow sensor, temperature sensor along with RFID tag. The sensor values are transferred to a line following robot using ZIGBEE transceivers. Using GSM technology, the robot will transfer the sensor information to the user. Hence AHMS helps the user to be aware of the present health status of animals located at farm.

REFERENCES

  1. Ahmad, M.H., Ismail, A.H. , Marhaban, M.H.,  Ramli, H.R. (2009). Vision based system for line following mobile robot. Proceedings of IEEE Symposium on Industrial Electronics & Applications, 2: 642-645
  2. Andresen, D., Hildreth. T.S., Nagl, L., Schmitz, R., Warren, S. (2003). Wearable Sensor System for Wireless State-of- Health Determination in Cattle. Proceedings of the IEEE 25th Annual International Conference Engineering in Medicine and Biology Society, 4: 3012 – 3015.
  3. Chakchai So-In, Phaudphut. C., Tesana, S. (2012). Mobile animal tracking systems using light sensor for efficient power and cost saving motion detection. Proceedings of the 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 1:1-2.
  4. Divers, T. J. (2008). Rebhun’s Diseases of Dairy Cattle, 2nd Ed. Elsevier Inc. St. Lous Missouri.
  5. Do-Hyeun Kim, So-Hyeonkim. (2010). Animal Situation Tracking Service Using RFID, GPS, and Sensors. Proceedings of the Second International Conference on Computer and Network Technology (ICCNT), 1: 153 – 156.
  6. Goh.H.G., Kwong, K.H., Sasloglou, K., Wu, T.T. (2011). Implementation of herd management systems with wireless sensor networks. Proceedings of IET on Wireless Sensor Systems, 1: 55 – 65.
  7. Jih-Gau Juang and Yen-Sheng Chen (2009). Intelligent obstacle avoidance control strategy for wheeled mobile robot. Proceedings of ICCAS-SICE. ,: 3199-3204.
  8. Konaka, E., Okuma, S., Suzuki, T. (2001). Line following control of two wheeled vehicle by symbolic controller. Proceedings of the 40th IEEE Conference on Decision and Control, 1: 514-515.
  9. Nadimi, E.S., Oudshoorn , F.W., Sogaard, H.T., Bak, T. (2008). ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass. J. Comp.Elect. in Agri, 61:79-87.
  10. Riaz Ahamed, S.S. (2005). The Role of Zigbee Technology in Future Data Communication System. J. Theor. App. Info. Tech.:129-134.
  11. Rifat Shahriyar, M.d., Faizul Bari, Gourab Kundu, Sheikh I. Ahamed, M.d., Mostafa Akbar. (2009). Intelligent Mobile Health Monitoring System (IMHMS). Proceedings of Second International Conference on Electronic Healthcare for the 21st century, 1: 5-12.
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Indian Journal of Animal Research
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    volume 48 issue 6 (december 2014) : 625-627,   Doi: 10.5958/0976-0555.2014.00044.2

    HEALTH MONITORING AND MANAGEMENT SYSTEM FOR DAIRY ANIMALS

    C
    C. Yaashuwanth*
    C
    C. Gopinath1
    P
    P. Prabhavathy2
    1Department of Information Technology, SRM University, Kattankulathur-603 203, India
    Cite article:- Yaashuwanth* C., Gopinath1 C., Prabhavathy2 P. (2025). HEALTH MONITORING AND MANAGEMENT SYSTEM FOR DAIRY ANIMALS. Indian Journal of Animal Research. 48(6): 625-627. doi: 10.5958/0976-0555.2014.00044.2.

    ABSTRACT

    This paper presents Autonomous Health Monitoring System (AHMS) for dairy animals to detect the health condition of animals in real time environment. It deals with creating a solution for fully automated monitoring animal health system by providing information to the user via SMS regarding animal health condition. AHMS uses several sensors that are mounted around the neck of the dairy animals by means of collar belts. The main sensors that are used in this system are motion sensor, piezoelectric sensor, air flow sensor, temperature sensor along with RFID tag. The sensor values are transferred to a line following robot using ZIGBEE transceivers. Using GSM technology, the robot will transfer the sensor information to the user. Hence AHMS helps the user to be aware of the present health status of animals located at farm.

    REFERENCES

    1. Ahmad, M.H., Ismail, A.H. , Marhaban, M.H.,  Ramli, H.R. (2009). Vision based system for line following mobile robot. Proceedings of IEEE Symposium on Industrial Electronics & Applications, 2: 642-645
    2. Andresen, D., Hildreth. T.S., Nagl, L., Schmitz, R., Warren, S. (2003). Wearable Sensor System for Wireless State-of- Health Determination in Cattle. Proceedings of the IEEE 25th Annual International Conference Engineering in Medicine and Biology Society, 4: 3012 – 3015.
    3. Chakchai So-In, Phaudphut. C., Tesana, S. (2012). Mobile animal tracking systems using light sensor for efficient power and cost saving motion detection. Proceedings of the 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), 1:1-2.
    4. Divers, T. J. (2008). Rebhun’s Diseases of Dairy Cattle, 2nd Ed. Elsevier Inc. St. Lous Missouri.
    5. Do-Hyeun Kim, So-Hyeonkim. (2010). Animal Situation Tracking Service Using RFID, GPS, and Sensors. Proceedings of the Second International Conference on Computer and Network Technology (ICCNT), 1: 153 – 156.
    6. Goh.H.G., Kwong, K.H., Sasloglou, K., Wu, T.T. (2011). Implementation of herd management systems with wireless sensor networks. Proceedings of IET on Wireless Sensor Systems, 1: 55 – 65.
    7. Jih-Gau Juang and Yen-Sheng Chen (2009). Intelligent obstacle avoidance control strategy for wheeled mobile robot. Proceedings of ICCAS-SICE. ,: 3199-3204.
    8. Konaka, E., Okuma, S., Suzuki, T. (2001). Line following control of two wheeled vehicle by symbolic controller. Proceedings of the 40th IEEE Conference on Decision and Control, 1: 514-515.
    9. Nadimi, E.S., Oudshoorn , F.W., Sogaard, H.T., Bak, T. (2008). ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass. J. Comp.Elect. in Agri, 61:79-87.
    10. Riaz Ahamed, S.S. (2005). The Role of Zigbee Technology in Future Data Communication System. J. Theor. App. Info. Tech.:129-134.
    11. Rifat Shahriyar, M.d., Faizul Bari, Gourab Kundu, Sheikh I. Ahamed, M.d., Mostafa Akbar. (2009). Intelligent Mobile Health Monitoring System (IMHMS). Proceedings of Second International Conference on Electronic Healthcare for the 21st century, 1: 5-12.
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