International Journal of Agriculture, Environment and Biotechnology
  • Year: 2021
  • Volume: 14
  • Issue: 2

Arduino-Based Milk Quality Monitoring System

1Engineering & Technology Center for Animal Sciences, Rajasthan University of Veterinary and Animal Sciences, Bikaner, Rajasthan, India

2Principal Investigator, Engineering & Technology Center for Animal Sciences, Rajasthan University of Veterinary and Animal Sciences, Bikaner, Rajasthan, India

*Corresponding author: summy_15@yahoo.co.in (ORCID ID: 0000-0001-6100-7853)

Online published on 3 September, 2022.

Abstract

The current generation has seen a significant rise in milk demand, which has increased the number of milk centers in various regions. Milk is the most important source of nutrition for children, pregnant women, and adults. Milk of the highest quality is dense and free of contaminants. A few adulterants are added to milk to sustain milk income and increase yield. Since farmers supply so much of the milk, there’s a fair chance they’ll get the information wrong if they don’t know what they’re doing. The consistency of milk can be harmed by these adulterants. Adulteration of milk has been a major social problem in recent years. Consumption of tainted milk can result in serious health problems. Milk adulteration must be detected, and milk consistency must be ensured. Various types of sensors, such as pH sensors, gas sensors, and temperature sensors, may be used to detect milk adulteration. This implementation is designed to make the process more apparent to all people who deposit milk. The Arduino controller is used in this framework. The entire milk analyzer system is regulated by this Arduino. Controllers are connected to a variety of sensors. This is an easy-to-use method.

• Arduino-Uno used in this system which provide a faster and reliable result than previously implemented milk analyzer system.

• Four different types of milk samples from different dairies are used in this milk quality analysis system.

• Study indicated that this system is more efficient than the previous study. This system is user-friendly and easy to use.

Keywords

Arduino, FAT measurement, Gas sensor, LDR, LED, Ph Sensor, Temperature sensor