Mayur Mahendrakumar Sevak,
Dhwani A. Bambhaniya,
Arjan B. Bambhaniya,
- Assitant Professor, Department of Electronics & Communication Engineering, Birla Vishvakarma, Mahavidyalaya (Engineering College), Anand, Gujarat, India
- Student, Department of Electronics & Communication Engineering, Birla Vishvakarma, Mahavidyalaya (Engineering College), Anand, Gujarat, India
- Assitant Professor, Department of Electronics & Communication Engineering, Birla Vishvakarma, Mahavidyalaya (Engineering College), Anand,, Gujarat, India
Abstract
The N58 Open CPU-based milk collection system is designed to enhance the efficiency and transparency of milk collection processes in rural and urban dairy operations. By integrating a computerized platform with open-source technology (Open CPU), the system enables real-time monitoring, automatic data logging, and streamlined milk collection from multiple sources. The system allows farmers to register and track their milk deliveries, monitor milk parameters such as fat content and volume, and access instant payment reports. By automating various steps in the collection process, it reduces human error, prevents fraudulent activities, and ensures accurate measurements, which ultimately improves the overall transparency of the milk supply chain. The open-source nature of the platform ensures scalability and adaptability, making it suitable for diverse dairy operations while promoting sustainable practices and minimizing operational costs. This innovation aims to optimize milk collection, improve profitability for farmers, and deliver high quality milk to consumers.
Keywords: Open CPU, milk collection, cost, farmer, dairy
[This article belongs to Journal of Electronic Design Technology ]
Mayur Mahendrakumar Sevak, Dhwani A. Bambhaniya, Arjan B. Bambhaniya. Review JoEDT N58 Open CPU-Based Milk Collection System. Journal of Electronic Design Technology. 2025; 16(02):17-23.
Mayur Mahendrakumar Sevak, Dhwani A. Bambhaniya, Arjan B. Bambhaniya. Review JoEDT N58 Open CPU-Based Milk Collection System. Journal of Electronic Design Technology. 2025; 16(02):17-23. Available from: https://journals.stmjournals.com/joedt/article=2025/view=213987
References
1. Yadav SB, Dhavale KB, Kale SD, Kota PN. Automatic milk collection system. Asian J Converg Technol.2018; 4 (1): 1–4.
2. Benabdallah C, El Amraoui A, Frikha A, Delmotte F. Milk collection network design: location and configuration of small milk collection. In: 2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET), Hammamet, Tunisia, March 22–25, 2022. pp. 121–126.
3. Pearl J, Mackenzie D. The Book of Why: The New Science of Cause and Effect. New York, NY, USA: Basic Books; 2018.
4. Gunning D. Explainable artificial intelligence (XAI). Defense Advanced Research Projects Agency (DARPA). November 2017. Available at https://nsarchive.gwu.edu/sites/default/files/documents/5794867/National-Security-Archive-David-Gunning-DARPA.pdf
5. Adadi A, Berrada M. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE Access. 2018; 6: 52138–52160.
6. Holzinger A, Biemann C, Pattichis CS, Kell DB. What do we need to build explainable AI systems for the medical domain?. arXiv preprint. arXiv:1712.09923. December 28, 2017.
7. Altin M, Gürsoy F, Xu L. Machine-generated hierarchical structure of human activities to reveal how machines think. IEEE Access. 2021; 9: 18307–18317.
8. Xia K, Huang J, Wang H. LSTM-CNN architecture for human activity recognition. IEEE Access.2020; 8: 56855–56866.
9. Yadav SN, Kulkarni VA, Gholap SG. Design of milk analysis embedded system for dairy farmers.In: 2013 International Conference on Advances in Technology and Engineering (ICATE), Mumbai,India, January 23–25, 2013. pp. 1-5.
10. Chakravarty R. IT at milk collection centers in cooperative dairies: The National Dairy Development Board experience. In: Bhatnagar S, Schware R, editors. Information and Communication Technology in Development: Cases from India. New Delhi, India: Sage Publications; 2000. pp. 37–47.
11. Ait-Saidi A, Caja G, Salama AA, Carné S. Implementing electronic identification for performance recording in sheep: I. Manual versus semiautomatic and automatic recording systems in dairy and meat farms. J Dairy Sci. 2014; 97 (12): 7505–7514.
12. Katheria AC, Truong G, Cousins L, Oshiro B, Finer NN. Umbilical cord milking versus delayed cord clamping in preterm infants. Pediatrics. 2015; 136 (1): 61–69.
13. Manjunath PK, Janani RS, Pillai AS. OpenCPU platform for IoT applications—a study. In: 2017 International Conference on Technological Advancements in Power and Energy (TAP Energy), Kollam, India, December 21–23, 2017. pp. 1–5.
14. Laguna JC, Higuera AG, Cantabrana RZ, de las Morenas J. Comprehensive traceability system of milk samples using RFID. In: Smart SysTech 2012: European Conference on Smart Objects, Systems and Technologies, Osnabrueck, Germany, June 12–13, 2012. pp. 1–8.
15. Durgun M. Real-time milk quality control using multi-spectral sensing and edge computing: advancing on-site detection of milk components with XGBoost. Appl Sci. 2024; 14 (23): 10916.
16. Faris ZM, Croock MS. Sensor network based animals feeding and milk production management system. Eng Technol J. 2018; 36 (2 Part A): 213–222.
17. Wolfert S, Ge L, Verdouw C, Bogaardt MJ. Big data in smart farming – a review. Agric Syst. 2017;153: 69–80.
18. Jukan A, Carpio F, Masip X, Ferrer AJ, Kemper N, Stetina BU. Fog-to-cloud computing for farming: low-cost technologies, data exchange, and animal welfare. Computer. 2019; 52 (10): 41–51.
19. Melin M, Hermans GG, Pettersson G, Wiktorsson H. Cow traffic in relation to social rank and motivation of cows in an automatic milking system with control gates and an open waiting area. Appl Anim Behav Sci. 2006; 96 (3–4): 201–214.
20. Gruetzmacher TJ, Bradley Jr RL. Identification and control of processing variables that affect the quality and safety of fluid milk. J Food Protect. 1999; 62 (6): 625–631.
21. Sun L, Lundh Å, Höjer A, Bernes G, Nilsson D, Johansson M, Hetta M, Gustafsson AH, Saedén KH, Dicksved J. Milking system and premilking routines have a strong effect on the microbial community in bulk tank milk. J Dairy Sci. 2022; 105 (1): 123–139.

Journal of Electronic Design Technology
| Volume | 16 |
| Issue | 02 |
| Received | 12/04/2025 |
| Accepted | 29/04/2025 |
| Published | 22/05/2025 |
| Publication Time | 40 Days |
PlumX Metrics
