AUTOMATED MILK QUALITY MONITORING AND COLLECTION SYSTEM

Author

P. Prakash, M. Vigneshkumar, K. Arunkumar, P. Guruprasanth, M. Rohith, J. R. Sudershan


Abstract

 Quality assessment and record keeping at rural milk collection centres are still largely manual, which leads to delays, measurement errors and disputes between farmers and collectors. This paper presents an automated, IoT-based milk quality monitoring and collection system built around an ESP32 microcontroller. A pH sensor gauges the acidity of the milk, an LDR-based optical arrangement provides an indication of fat content, a load cell with an HX711 amplifier measures the quantity, and a DS18B20 sensor records the milk temperature. Each farmer is identified uniquely using an RFID tag and an MFRC522 reader, so that every collection is linked to the correct record. The ESP32 controls the entire process, shows the farmer ID, weight, fat percentage and pH on an LCD, and uploads the readings over Wi-Fi to the Blynk IoT platform, where they are stored and can be monitored remotely. The system is intended to reduce manual work, remove disputes, ensure transparency, and enable accurate and faster payment to farmers. It is cost-effective, reliable and suitable for rural milk collection centres to improve efficiency and maintain proper digital records.


Keywords

Embedded Systems, ESP32 Microcontroller, IoT, Blynk, RFID, pH Sensor, Load Cell, Milk Quality Monitoring.



Full Text:

Download Paper PDF


References


  1. Kasoji Eshwari, Pragathi Jogi, Mothkuri Prathyusha, Gangavath Gouthami, Sangireddi Lahari, Disha Kadam, Afiya Syed, “Low-Cost Arduino-Based Multi-Parameter Detection of Milk Adulteration,” IJCSPUB, Volume 16, Issue 2, 2026.
  2. Amol More, Avishkar Darekar, Utkarsh Chile, Dnyaneshwar Bhore, Tanvi Pachange, Sanika Pisal, “Towards Safer Dairy Consumption: Real-Time Monitoring of Milk Purity with Arduino-Based Sensors,” IJCRT, Volume 14, Issue 5, May 2026.
  3. K. Das and R. K. Sahu, “Sensor-based food adulteration detection systems: A review of recent advances,” Measurement: Sensors, vol. 27, pp. 100–118, 2023.
  4. M. Kiran Kumar and Dr. Srividya B. V., “Smart System for Milk Quality Analysis and Billing System,” International Research Journal of Engineering and Technology (IRJET), Volume 09, Issue 08, Aug 2022.
  5. Khenwar, S. Vishnoi and A. Sisodia, “An Assessment of Milk Adulteration IoT Based Model to Identify the Quality of Milk using Lab View,” 2022 11th International Conference on System Modeling& Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 868–873, doi: 10.1109/SMART55829.2022.10047364.
  6. S. Saravanan, Kavinkumar M, Kokul N S, Krishna N S, Nitheeshkumar VI. “Smart Milk Quality Analysis and Grading Using IoT.” ICICCS, 2021.
  7. Kumar and P. Sharma, “Development of low-cost milk quality monitoring device using IoT and sensor networks,” International Journal 31 of Recent Technology and Engineering (IJRTE), vol. 8, no. 6, pp. 45314536, Mar. 2020.
  8. G. Rajakumar, “IOT Based Milk Monitoring System For Detection Of Milk Adulteration” International Journal of Pure and Applied Mathematics, Volume 118 No. 9 2018, ISSN 21-32/ ISSN: 1314-3395.
  9. G. Buta, E.I. Petrescu, and V.M. Stefan “Detection of Adulteration in Milk” in Journal of Food Science, vol. 82, 2017.
  10. Pedinti Sankaran Venkateswaran, Abhishek Sharma, Santosh Dubey, Ajay Agarwal, Sanket Goel, “Rapid and Automated Measurement of Milk Adulteration Using a 3D Printed Optofluidic Micro Viscometer (OMV),” IEEE Sensors Journal, Volume 16, Issue 9, 2016.
  11. Das, S., Goswami, B., & Biswas, K.. “Milk adulteration and detection”: a review. Sensor letters, 14 (1), (2016)
  12. Prof S.G. Galande Jhadav Dnyaneshwar B. Mhase Mayur D. Manakar Rahul J. “The Detection Of Urea, Sugar, Sodium Chloride, And Measurement Of Ph Parameter In The Milk By Arm Processor” in International Journal of Informative Futuristic Research Volume 2, Issue 6, 2015.
  13. Michael Lu, Yvonne Shiau, Jacklyn Wong, Raishay Lin, Hannah Kravis, Thomas Blackmon, Tanya Pakzad, Tiffany Jen, Amy Cheng, Jonathan Chang, Erin Ong, Nima Sarfaraz, Nam Sun Wang “Milk Spoilage: Methods and Practices of Detecting Milk Quality” Food and Nutrition Sciences, 2013.
  14. Mabrook, M. F., and M. C. Petty. “A novel technique for the detection of added water to full fat milk using single frequency admittance measurements.” Sensors and Actuators B: Chemical 96, no. I (2003): 215–218.

Share your valuable work from Social Media Buttons