An IoT-Based Data Logging System to Ensure Consistent Dairy Product Quality Through Monitoring and Cloud Analytics
Pasteurization is intended to eliminate harmful microorganisms while maintaining the quality of milk and its other crucial constituents. As the consumption of dairy products increases in various regions across the globe, it becomes important to ensure that pasteurization is performed according to the set standards. Currently, the most major limitation of pasteurization processes is that they are overly dependent on the manual supervision and control. Besides the quality of the final product, this is a crucial factor for maintaining safety throughout. Furthermore, because they do not typically provide accurate data relating to the deviation of the process over a period of time. Nowadays having more of an automated solution, as well as computing capabilities of all systems in the cloud, has reduced redundancies across processes. In relation to the dairy sector, having those technologies enable efficiencies with respect to the precision, uniformity, and regulation of the entire pasteurization process. Consequently, the transfer to the automated systems undoubtedly improves operational performance as well as reduces errors related to the manual sanitation of the parameters particularly temperature and flow rate, which are critical and have to be maintained. Also, the factor of timely service is simplified because the machine is able to analyze data instantly, thus increasing productivity by reducing the downtime of operations.
Authors
- Gaurav Sethi
- Shelej Khera (ORCID: https://orcid.org/0000-0003-1527-3725)
- Jaishanker Prasad Keshari
- Ashish Singh Chauhan (ORCID: https://orcid.org/0009-0004-7154-2584)
- Nagendar Yamsani (ORCID: https://orcid.org/0009-0000-4697-6154)
- Praveen Kumar Malik (ORCID: https://orcid.org/0000-0002-8769-6631)
Institutions
- Lovely Professional University (IN)
- Uttaranchal University (IN)
Publication Details
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1109/icdt63985.2025.10986572
- Primary Topic
- Food Supply Chain Traceability
- Type
- article
- Field-Weighted Citation Impact
- 0.00