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2020 | OriginalPaper | Buchkapitel

IoT-Based Cow Health Monitoring System

verfasst von : Olgierd Unold, Maciej Nikodem, Marek Piasecki, Kamil Szyc, Henryk Maciejewski, Marek Bawiec, Paweł Dobrowolski, Michał Zdunek

Erschienen in: Computational Science – ICCS 2020

Verlag: Springer International Publishing

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Abstract

Good health and wellbeing of animals are essential to dairy cow farms and sustainable production of milk. Unfortunately, day-to-day monitoring of animals condition is difficult, especially in large farms where employees do not have enough time to observe animals and detect first symptoms of diseases. This paper presents an automated, IoT-based monitoring system designed to monitor the health of dairy cows. The system is composed of hardware devices, a cloud system, an end-user application, and innovative techniques of data measurements and analysis algorithms. The system was tested in a real-life scenario and has proved it can effectively monitor animal welfare and the estrus cycle.

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Literatur
1.
Zurück zum Zitat Adamczyk, K., Cywicka, D., Herbut, P., Trześniowska, E.: The application of cluster analysis methods in assessment of daily physical activity of dairy cows milked in the voluntary milking system. Comput. Electron. Agric. 141, 65–72 (2017)CrossRef Adamczyk, K., Cywicka, D., Herbut, P., Trześniowska, E.: The application of cluster analysis methods in assessment of daily physical activity of dairy cows milked in the voluntary milking system. Comput. Electron. Agric. 141, 65–72 (2017)CrossRef
3.
Zurück zum Zitat Borchers, M., Chang, Y., Tsai, I., Wadsworth, B., Bewley, J.: A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors. J. Dairy Sci. 99(9), 7458–7466 (2016)CrossRef Borchers, M., Chang, Y., Tsai, I., Wadsworth, B., Bewley, J.: A validation of technologies monitoring dairy cow feeding, ruminating, and lying behaviors. J. Dairy Sci. 99(9), 7458–7466 (2016)CrossRef
4.
Zurück zum Zitat Caja, G., Castro-Costa, A., Knight, C.H.: Engineering to support wellbeing of dairy animals. J. Dairy Res. 83(2), 136–147 (2016)CrossRef Caja, G., Castro-Costa, A., Knight, C.H.: Engineering to support wellbeing of dairy animals. J. Dairy Res. 83(2), 136–147 (2016)CrossRef
5.
Zurück zum Zitat De Clercq, M., Vats, A., Biel, A.: Agriculture 4.0: the future of farming technology. In: Proceedings of the World Government Summit, Dubai, UAE, pp. 11–13 (2018) De Clercq, M., Vats, A., Biel, A.: Agriculture 4.0: the future of farming technology. In: Proceedings of the World Government Summit, Dubai, UAE, pp. 11–13 (2018)
7.
Zurück zum Zitat Dolecheck, K., et al.: Behavioral and physiological changes around estrus events identified using multiple automated monitoring technologies. J. Dairy Sci. 98(12), 8723–8731 (2015)CrossRef Dolecheck, K., et al.: Behavioral and physiological changes around estrus events identified using multiple automated monitoring technologies. J. Dairy Sci. 98(12), 8723–8731 (2015)CrossRef
8.
Zurück zum Zitat Mirani, A.A., Memon, M.S., Rahu, M.A., Bhatti, M.N., Shaikh, U.R.: A review of agro-industry in IoT: applications and challenges. Quest Res. J. 17(01), 28–33 (2019) Mirani, A.A., Memon, M.S., Rahu, M.A., Bhatti, M.N., Shaikh, U.R.: A review of agro-industry in IoT: applications and challenges. Quest Res. J. 17(01), 28–33 (2019)
9.
Zurück zum Zitat Müller, R., Schrader, L.: A new method to measure behavioural activity levels in dairy cows. Appl. Anim. Behav. Sci. 83(4), 247–258 (2003)CrossRef Müller, R., Schrader, L.: A new method to measure behavioural activity levels in dairy cows. Appl. Anim. Behav. Sci. 83(4), 247–258 (2003)CrossRef
10.
Zurück zum Zitat Nielsen, P.P., Fontana, I., Sloth, K.H., Guarino, M., Blokhuis, H.: Validation and comparison of 2 commercially available activity loggers. J. Dairy Sci. 101(6), 5449–5453 (2018)CrossRef Nielsen, P.P., Fontana, I., Sloth, K.H., Guarino, M., Blokhuis, H.: Validation and comparison of 2 commercially available activity loggers. J. Dairy Sci. 101(6), 5449–5453 (2018)CrossRef
12.
Zurück zum Zitat Pahl, C., Hartung, E., Mahlkow-Nerge, K., Haeussermann, A.: Feeding characteristics and rumination time of dairy cows around estrus. J. Dairy Sci. 98(1), 148–154 (2015)CrossRef Pahl, C., Hartung, E., Mahlkow-Nerge, K., Haeussermann, A.: Feeding characteristics and rumination time of dairy cows around estrus. J. Dairy Sci. 98(1), 148–154 (2015)CrossRef
13.
Zurück zum Zitat Palmer, M.A., Olmos, G., Boyle, L.A., Mee, J.F.: Estrus detection and estrus characteristics in housed and pastured holstein-friesian cows. Theriogenology 74(2), 255–264 (2010)CrossRef Palmer, M.A., Olmos, G., Boyle, L.A., Mee, J.F.: Estrus detection and estrus characteristics in housed and pastured holstein-friesian cows. Theriogenology 74(2), 255–264 (2010)CrossRef
14.
Zurück zum Zitat Roelofs, J., Van Erp-van der Kooij, E.: Estrus detection tools and their applicability in cattle: recent and perspectival situation. Anim. Reprod. (AR) 12(3), 498–504 (2015) Roelofs, J., Van Erp-van der Kooij, E.: Estrus detection tools and their applicability in cattle: recent and perspectival situation. Anim. Reprod. (AR) 12(3), 498–504 (2015)
15.
Zurück zum Zitat Roelofs, J., López-Gatius, F., Hunter, R., Van Eerdenburg, F., Hanzen, C.: When is a cow in estrus? Clinical and practical aspects. Theriogenology 74(3), 327–344 (2010)CrossRef Roelofs, J., López-Gatius, F., Hunter, R., Van Eerdenburg, F., Hanzen, C.: When is a cow in estrus? Clinical and practical aspects. Theriogenology 74(3), 327–344 (2010)CrossRef
16.
Zurück zum Zitat Rutten, C.J., Velthuis, A., Steeneveld, W., Hogeveen, H.: Invited review: sensors to support health management on dairy farms. J. Dairy Sci. 96(4), 1928–1952 (2013)CrossRef Rutten, C.J., Velthuis, A., Steeneveld, W., Hogeveen, H.: Invited review: sensors to support health management on dairy farms. J. Dairy Sci. 96(4), 1928–1952 (2013)CrossRef
17.
Zurück zum Zitat Shahriar, M.S., et al.: Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. 128, 20–26 (2016)CrossRef Shahriar, M.S., et al.: Detecting heat events in dairy cows using accelerometers and unsupervised learning. Comput. Electron. Agric. 128, 20–26 (2016)CrossRef
18.
Zurück zum Zitat Sveberg, G., et al.: Behavior of lactating holstein-friesian cows during spontaneous cycles of estrus. J. Dairy Sci. 94(3), 1289–1301 (2011)CrossRef Sveberg, G., et al.: Behavior of lactating holstein-friesian cows during spontaneous cycles of estrus. J. Dairy Sci. 94(3), 1289–1301 (2011)CrossRef
19.
Zurück zum Zitat Wang, J., He, Z., Ji, J., Zhao, K., Zhang, H.: IoT-based measurement system for classifying cow behavior from tri-axial accelerometer. Ciência Rural 49(6) (2019) Wang, J., He, Z., Ji, J., Zhao, K., Zhang, H.: IoT-based measurement system for classifying cow behavior from tri-axial accelerometer. Ciência Rural 49(6) (2019)
Metadaten
Titel
IoT-Based Cow Health Monitoring System
verfasst von
Olgierd Unold
Maciej Nikodem
Marek Piasecki
Kamil Szyc
Henryk Maciejewski
Marek Bawiec
Paweł Dobrowolski
Michał Zdunek
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-50426-7_26