Digital Farming: A Survey on IoT-based Cattle Monitoring Systems and Dashboards
DOI:
https://doi.org/10.7160/aol.2023.150203How to Cite
Abstract
There is a steady increase in research on livestock monitoring systems that offer new ways to remotely track the health of the livestock, early predict the diseases that may affect them and intervene in the early stages to save the situation by monitoring the various vital biodata of the livestock, as well as monitoring their feeding and tracking their location to prevent any damage or rustling. In this context, this paper comes in order to highlight and discuss the most recently published articles that study the topic of cattle health monitoring and location tracking systems using advanced IoT sensors. In addition, the research provides a review of the most important software and dashboards available in the market that can be used for this purpose. The research constitutes a reference for researchers in this field and for those who wish to develop similar monitoring systems.References
Akhigbe, B. I., Munir, K., Akinade, O., Akanbi, L. and Oyedele, L. O. (2021) "IoT technologies for livestock management: a review of present status, opportunities, and future trends", Big data and cognitive computing, Vol. 5, No. 1, 10 p. ISSN 2504-2289. DOI: https://doi.org/10.3390/bdcc5010010
Aleluia, V. M., Soares, V. N., Caldeira, J. M. and Rodrigues, A. M. (2022) "Livestock Monitoring: Approaches, Challenges and Opportunities", International Journal of Engineering and Advanced Technology, Vol. 11, No. 4, pp. 67-76. ISSN 2249-8958 DOI: https://doi.org/10.35940/ijeat.D3458.0411422
Cho, B. H. (2021) "Analysis and Design of Cattle Management System based on IoT", The Journal of the Institute of Internet, Broadcasting and Communication, Vol. 21, No. 2, pp. 125-130. ISSN 2289-0246 DOI: https://doi.org/10.7236/JIIBC.2021.21.2.125
Dieng, O., Diop, B., Thiare, O. and Pham, C. (2017) "A study on IoT solutions for preventing cattle rustling in african context", The International Conference on Communications, Vol. 153, pp. 1-11 DOI: https://doi.org/10.1145/3018896.3036396
Dineva, K. and Atanasova, T. (2021) "Design of scalable IoT architecture based on AWS for smart livestock", Animals, Vol. 11, No. 9. ISSN 2076-2615 DOI: https://doi.org/10.3390/ani11092697
Germani, L., Mecarelli, V., Baruffa, G., Rugini, L. and Frescura, F. (2019) "An IoT architecture for continuous livestock monitoring using LoRa LPWAN", Electronics, Vol. 8, No. 12, p. 1435. ISSN 2079-9292 DOI: https://doi.org/10.3390/electronics8121435
Ilyas, Q. M. and Ahmad, M. (2020) "Smart Farming: An Enhanced Pursuit of Sustainable Remote Livestock Tracking and Geofencing Using IoT and GPRS", Wireless Communications and Mobile Computing. Vol. 2020. ISSN 1530-8669 DOI: https://doi.org/10.1155/2020/6660733
Isaac, J. O. (2021) "IOT-Livestock monitoring and management system", International Journal of Engineering Applied Sciences and Technology, Vol. 5, No. 9, pp. 254-257. ISSN 2455-2143 DOI: https://doi.org/10.33564/IJEAST.2021.v05i09.042
Jabir, B., Falih, N. Sarih, A. and Tannouche, A. (2021) “A Strategic Analytics Using Convolutional Neural Networks for Weed Identification in Sugar Beet Fields", AGRIS on-line Papers in Economics and Informatics, Vol. 13, No. 1, pp. 49-57. ISSN 1804-1930 DOI: https://doi.org/10.7160/aol.2021.130104
Jabir, B. and Falih, N. (2020) "Digital agriculture in Morocco, opportunities and challenges", 2020 IEEE 6th International Conference on Optimization and Applications (ICOA), pp. 1-5. ISBN 9781728166544 DOI: https://doi.org/10.1109/ICOA49421.2020.9094450
Joshitha, C., Kanakaraja, P., Bhavani, M. D., Raman, Y. N. V. and Sravani, T. (2021) "LoRaWAN based cattle monitoring smart system", 2021 7th International Conference on Electrical Energy Systems (ICEES), IEEE, pp. 548-552 DOI: https://doi.org/10.1109/ICEES51510.2021.9383749
Khatate, P., Savkar, A. and Patil, C. Y. (2018) "Wearable smart health monitoring system for animals", 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), IEEE, pp. 162-164). IEEE DOI: https://doi.org/10.1109/ICOEI.2018.8553844
Kumari, S. and Yadav, S. K. (2018) "Development of IoT Based Smart Animal Health Monitoring System Using Raspberry Pi", International Journal of Advanced Studies of Scientific Research, Vol. 3, No. 8, 8 p. ISSN 2460-4010
Maroto-Molina, F., Navarro-García, J., Príncipe-Aguirre, K., Gómez-Maqueda, I., Guerrero-Ginel, J. E., Garrido-Varo, A. and Pérez-Marín, D. C. (2019) "A low-cost IoT-based system to monitor the location of a whole herd", Sensors, Vol. 19, No. 10, p. 2298. ISSN 1424-8220 DOI: https://doi.org/10.3390/s19102298
Na, D. Y. (2019) "Machine learning algorithm and IoT technique research for animal welfare smart farm", Konkuk Univ. Ph. D. Paper
Pratama, Y. P., Basuki, D. K., Sukaridhoto, S., Yusuf, A. A., Yulianus, H., Faruq, F.,and Putra, F. B. (2019) "Designing of a Smart Collar for Dairy Cow Behavior Monitoring with Application Monitoring in Microservices and Internet of Things-Based Systems", 2019 International Electronics Symposium (IES), IEEE, pp. 527-533 DOI: https://doi.org/10.1109/ELECSYM.2019.8901676
Ramachandran, H. and Gaikwad, M. M. (2021) "IoT solutions for farmers on livestock management in smart city: A bibliometric survey", Library Philosophy and Practice, May. E-ISSN 1522-0222
Ramesh, G., Sivaraman, K., Subramani, V., Vignesh, P. Y. and Bhogachari, S. V. V. (2021) "Farm animal location tracking system using arduino and gps module", 2021 International Conference on Computer Communication and Informatics (ICCCI), IEEE, pp. 1-4 DOI: https://doi.org/10.1109/ICCCI50826.2021.9402610
Saravanan, K. and Saraniya, S. (2017) "Cloud IOT based novel livestock monitoring and identification system using UID", Sensor Review, Vol. 38, No. 1, pp. 21-33. ISSN 0260-2288 DOI: https://doi.org/10.1108/SR-08-2017-0152
Shabani, I., Biba, T. and Çiço, B. (2022) "Design of a Cattle-Health-Monitoring System Using Microservices and IoT Devices", Computers, Vol. 11, No. 5, p. 79. ISSN 2073-431X DOI: https://doi.org/10.3390/computers11050079
Suresh, A. and Sarath, T. V. (2019) "An IoT solution for cattle health monitoring", IOP Conference Series: Materials Science and Engineering, IOP Publishing, India. Vol. 561, No. 1, p. 012106 DOI: https://doi.org/10.1088/1757-899X/561/1/012106
Unold, O., Nikodem, M., Piasecki, M., Szyc, K., Maciejewski, H., Bawiec, M. and Zdunek, M. (2020) "IoT-Based Cow Health Monitoring System, Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Part V, pp. 344-356 DOI: https://doi.org/10.1007/978-3-030-50426-7_26
Vigneswari, T. (2021) "Smart IOT Cloud Based Livestock Monitoring System: A Survey", Turkish Journal of Computer and Mathematics Education (TURCOMAT), Vol. 12, No. 10, pp. 3308-3315. ISSN 1309-4653 DOI: https://doi.org/10.17762/turcomat.v12i10.4987








