Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing

Ali  Yavari; Dimitrios  Georgakopoulos; Himanshu  Agrawal; Harindu Korala; Prem Prakash  Jayaraman; Josip Karabotić  Milovac

doi:10.1109/ICOIN48656.2020.9016608

Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing

Ali Yavari, Dimitrios Georgakopoulos, Himanshu Agrawal, Harindu Korala, Prem Prakash Jayaraman, Josip Karabotić Milovac

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

11 Citations (Scopus)

Abstract

Determining the quality of milk (i.e., fat and protein content) in inbound supply chains of the milk processing industry is important for separating the inbound milk by quality and for producing premium milk products with the higher quality milk. However, existing methods of milk quality monitoring are based on the manual testing of milk samples for quality purposes that today are performed in labs located at the processing plants. Due to this, the milk supply is mixed for delivery before it can be tested. This paper presents an Internet of Things solution for milk-quality monitoring at the farm before pick up. The proposed solution is low-cost so that it can be deployed at virtually all dairy farms.

Original language	English
Title of host publication	2020 International Conference on Information Networking (ICOIN)
Editors	Sangheon Pack, Takeo Fujii, Yulei Wu
Place of Publication	Danvers MA USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	342-347
Number of pages	6
Edition	1st
ISBN (Electronic)	9781728141985
DOIs	https://doi.org/10.1109/ICOIN48656.2020.9016608
Publication status	Published - Jan 2020
Externally published	Yes
Event	International Conference on Information Networking (ICOIN) 2020 - AC Hotel Barcelona Forum, Barcelona, Spain Duration: 7 Jan 2020 → 10 Jan 2020 Conference number: 34th http://2020.icoin.org/ https://ieeexplore.ieee.org/xpl/conhome/8999388/proceeding (Proceedings)

Publication series

Name	International Conference on Information Networking
Volume	2020-January
ISSN (Print)	1976-7684

Conference

Conference	International Conference on Information Networking (ICOIN) 2020
Abbreviated title	ICOIN 2020
Country/Territory	Spain
City	Barcelona
Period	7/01/20 → 10/01/20
Internet address	http://2020.icoin.org/ https://ieeexplore.ieee.org/xpl/conhome/8999388/proceeding (Proceedings)

Keywords

Internet of Things (IoT)
industry 4.0
Milk Quality Monitoring
Contextual Sensing
Smart farming

Access to Document

10.1109/ICOIN48656.2020.9016608

Cite this

Yavari, A., Georgakopoulos, D., Agrawal, H., Korala, H., Jayaraman, P. P., & Milovac, J. K. (2020). Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing. In S. Pack, T. Fujii, & Y. Wu (Eds.), 2020 International Conference on Information Networking (ICOIN) (1st ed., pp. 342-347). (International Conference on Information Networking; Vol. 2020-January). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICOIN48656.2020.9016608

Yavari, Ali ; Georgakopoulos, Dimitrios ; Agrawal, Himanshu et al. / Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing. 2020 International Conference on Information Networking (ICOIN). editor / Sangheon Pack ; Takeo Fujii ; Yulei Wu. 1st. ed. Danvers MA USA : IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 342-347 (International Conference on Information Networking).

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abstract = "Determining the quality of milk (i.e., fat and protein content) in inbound supply chains of the milk processing industry is important for separating the inbound milk by quality and for producing premium milk products with the higher quality milk. However, existing methods of milk quality monitoring are based on the manual testing of milk samples for quality purposes that today are performed in labs located at the processing plants. Due to this, the milk supply is mixed for delivery before it can be tested. This paper presents an Internet of Things solution for milk-quality monitoring at the farm before pick up. The proposed solution is low-cost so that it can be deployed at virtually all dairy farms.",

keywords = "Internet of Things (IoT), industry 4.0, Milk Quality Monitoring, Contextual Sensing, Smart farming",

author = "Ali Yavari and Dimitrios Georgakopoulos and Himanshu Agrawal and Harindu Korala and Jayaraman, {Prem Prakash} and Milovac, {Josip Karaboti{\'c}}",

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Yavari, A, Georgakopoulos, D, Agrawal, H, Korala, H, Jayaraman, PP & Milovac, JK 2020, Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing. in S Pack, T Fujii & Y Wu (eds), 2020 International Conference on Information Networking (ICOIN). 1st edn, International Conference on Information Networking, vol. 2020-January, IEEE, Institute of Electrical and Electronics Engineers, Danvers MA USA, pp. 342-347, International Conference on Information Networking (ICOIN) 2020, Barcelona, Spain, 7/01/20. https://doi.org/10.1109/ICOIN48656.2020.9016608

Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing. / Yavari, Ali ; Georgakopoulos, Dimitrios ; Agrawal, Himanshu et al.
2020 International Conference on Information Networking (ICOIN). ed. / Sangheon Pack; Takeo Fujii; Yulei Wu. 1st. ed. Danvers MA USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 342-347 (International Conference on Information Networking; Vol. 2020-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Jayaraman, Prem Prakash

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AB - Determining the quality of milk (i.e., fat and protein content) in inbound supply chains of the milk processing industry is important for separating the inbound milk by quality and for producing premium milk products with the higher quality milk. However, existing methods of milk quality monitoring are based on the manual testing of milk samples for quality purposes that today are performed in labs located at the processing plants. Due to this, the milk supply is mixed for delivery before it can be tested. This paper presents an Internet of Things solution for milk-quality monitoring at the farm before pick up. The proposed solution is low-cost so that it can be deployed at virtually all dairy farms.

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Yavari A, Georgakopoulos D, Agrawal H, Korala H, Jayaraman PP, Milovac JK. Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing. In Pack S, Fujii T, Wu Y, editors, 2020 International Conference on Information Networking (ICOIN). 1st ed. Danvers MA USA: IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 342-347. (International Conference on Information Networking). doi: 10.1109/ICOIN48656.2020.9016608

Internet of things milk spectrum profiling for industry 4.0 dairy and milk manufacturing

Abstract

Publication series

Conference

Keywords

Access to Document

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