A new cattle health monitoring system called My Herd was developed using Internet of Things (IoT), Thing Speak, and a mobile application. My Herd continuously monitors the health status of cattle by collecting and analyzing physiological parameters such as body temperature, heart rate, and activity level. The data is then transmitted to the Thing Speak cloud platform through IoT nodes, where it is analyzed using MATLAB algorithms. A mobile application is also developed to provide farmers with real time monitoring and alerts in case of any abnormality in cattle health. The proposed system was tested on a group of cattle, and the results showed that it can accurately detect and diagnose various health conditions. My Herd provides farmers with a cost effective and efficient solution for monitoring the health of their cattle, which can ultimately lead to improvement in productivity and profitability in the livestock industry.

The cattle health monitoring system is a promising technology that can significantly improve the health and productivity of livestock. Through the use of various sensors and monitoring devices, farmers can detect health issues early on and take the necessary actions to prevent diseases and other health problems. This system can also help reduce the use of antibiotics and other medication, thereby minimizing the risk of antibiotic resistance. The development of the cattle health monitoring system is still in its early stages, and there is much scope for further research and development. Future efforts should focus on improving the accuracy and reliability of the sensors, as well as reducing the cost of implementation. Additionally, there is a need for the development of user- friendly interfaces and software platforms that can facilitate easy data management and analysis. Overall, the cattle health monitoring system has the potential to revolutionize the livestock industry by improving the health and productivity of cattle while also reducing the environmental impact of livestock farming. It is hoped that this technology will be adopted widely in the future, leading to healthier, more sustainable, and more profitable livestock farming practices.

1.Arshad J, Siddiqui T, Sheikh MI, Waseem MS, Nawaz MAB, et al. (2023) Deployment of an intelligent and secure cattle health monitoring system. Egyptian Informatics Journal 24(2): 265-275. 2.Alipio M, Villena ML (2023) Intelligent wearable devices and biosensors for monitoring cattle health conditions: A review and classification. Smart Health 27: 100369. 3.Bretzinger LF, Tippenhauer CM, Plenio JL, Heuwieser W, Borchardt S (2023) Effect of transition cow health and estrous expression detected by an automated activity monitoring system within 60 days in milk on reproductive performance of lactating Holstein cows. Journal of Dairy Science 106(6): 4429-4442. 4.Ashmitha G, Daniel KM, Saravanan J, Ayyar K, Jaibhavani KS (2023) IoT Based Sustainable Live Stock Health Monitoring System. International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). India. 5.Dzermeikaite K, Baceninaite D, Antanaitis R (2023) Innovations in Cattle Farming: Application of Innovative Technologies and Sensors in the Diagnosis of Diseases. Animals 13(5): 780. 6.. Gamei M, Gaber T (2019) Wireless Sensor Networks Based Solutions for Cattle Health Monitoring: A Survey. Advances in Intelligent Systems and Computing pp: 779 788. 7.. Evans B, Beginning Arduino Programming Writing Code for the Most Popular Microcontroller. 8.. Suresh A, Sarath TV (2019) An IoT Solution for Cattle Health Monitoring and, Published under licence by IOP Publishing Ltd. IOP Conference Series: Materials Science and Engineering. India. 9.. Trivedi A, Chatterjee PS (2022) Care: Enable Cow Health Monitoring System. 2nd International Conference on Intelligent Technologies (CONIT). India 10.Singh D, Singh R, Gehlot A, Akram SV, Priyadarshi N, et. al (2022) An Impreative Role of Digitalization in Monitoring Cattle Heath for Sustainability. Electronics 11(17): 2702. 11.Roginski H, Fuquay JW, Fox PF (2003) Encyclopedia of dairy sciences. Academic Press, Amsterdam. India. 12.Germani L, Mecarelli V, Baruffa G, Rugini L, Frescura F (2019) An IoT Architecture for Continuous Livestock Monitoring Using LoRa LPWAN. Electronic 8(12): 1435 13.Tuna A, Das R, Tuna G (2015) Integrated Smart Home Services and Smart Wearable Technology for the Disabled and Elderly. In Proceedings of 4th International Conference on Data Management Technologies and Applications. Turkey. 14.Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Computer Networks 38(4): 393-422. 15.Madou MJ (2002) Fundamentals of Microfabrication: The Science of Miniaturization, 2nd Edition, CRC Press, Bosa Roca. 16.Istepanian R, Jovanov E, Zhang YT (2004) Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity. IEEE Trans Inf Technol Biomed 8(4): 405- 414. 17.Meindl JD (2005) IEEE International Electron Devices Meeting 23: 1A-1D. 18.Smith K (2006) 28th IEEE EMBS Annual International Conference, New York City, USA, pp: 4659-4662. 19.Nguyen CTC (2006) MEMS Technologies and Devices for Single-Chip RF Front-Ends. International Microelectronics and Packaging Society 3(4): 160-168. 20.Li Z, Shen H, Alsaify B (2008) Integrating RFID with Wireless Sensor Networks for Inhabitant, Environment and Health Monitoring. 14th IEEE International Conference on Parallel and Distributed Systems pp: 639 646. 21. Nabki F, Dusatko TA, El-Gamal MN (2008). Frequency tunable silicon carbide resonators for MEMS above IC. IEEE Custom Integrated Circuits Conference pp: 185 188. 22.Chawla A, Chawla N, Pant Y (2009) Milk and dairy products in India–production, consumption and exports 2nd (Edn.), Hindustan Studies & Services Ltd., Mumbai, India pp: 18-35. 23.Buratti C, Verdone R (2009) Performance analysis of IEEE802.15.4 nonbeacon-enabled mode. IEEE Transactions on Vehicular Technology 58(7): 3480 3493. 24.McLaws M, Ribble C, Martin W, Wilesmith J (2009) Factors associated with the early detection of foot-and mouth disease during the 2001 epidemic in the United Kingdom. Can Vet J 50(1): 53-60. 25.Ducrot C, Bed’Hom B, Beringue V, Coulon JB, Fourichon C (2011) Issues and special features of animal health research. Vet Res 42(1): 96. 26.Madou MJ (2011) From MEMS to Bio- MEMS and Bio NEMS: Manufacturing Techniques and Applications (Fundamentals of Microfabrication and Nanotechnology), CRC Press, Bosa Roca.

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