Food science

RESULTS AND DISCUSSION
We have analyzed four milk samples using this milk 
analyzing system. We have analyzed 5 factors of 
various milk samples. Pure Milk, water in milk, salt 
in milk, and soap adulterants in milk. Analysis of 
these milk samples is showing in Table 1. We have 
discussed various previous research work of milk 
quality analysis.
A microcontroller-based system for data monitoring 
and milk quality analysis is built (Khera et al. 2019). 
Important milk parameters such as pH, CLR, FAT, 
and SNF are controlled using this method. The 
butyrometer is used to measure the fat content 
of milk. CLR is measured using a lactometer. The 
SNF value is calculated using the FAT percentage 
and CLR value. The paper outlined the design 
and manufacturing process for a low-cost sensing 
technique based on a radio-frequency excitation 
electromagnetic planar sensor. Online quality 
control can be achieved easily thanks to computer-
assisted computing (Mukhopadhyay et al. 2005). An 
IoT-based framework is created (Rajakumar and et 
al. 2018). The microbial behavior in this system is 
determined by a gas sensor. The salinity of the milk 
is calculated by a salinity sensor, and the level of the 
milk is measured by a level sensor in this device. 
This system is also RFID-based. Customers have an 
RFID card that allows them to keep track of their 
milk dairies. This device tests milk weight, fat, and 
CLR. This system is both fast and precise. They 
created a Raspberry Pi3-based framework for this 
research (Thanedar et al. 2018). They used a web-
based platform to replace the desktop application. 
They devised a method of communicating wirelessly 
between the mil automation system and the 
server. They used IoT and data mining to build 
a milk automation machine. This system reduces 
overall costs while increasing productivity. This 
study is focused on the principle of spectroscopy 
(Sujatha et al. 2019). They created an automated 
fat measurement device as part of this study. This 
system is based on embedded technology. For all 
milk depositors, this device used RFID techniques 
for unique identification. This can be used to store 
all information about all milk depositors for future 
use. They used an Arduino Microcontroller to create 
a Milkotester for measuring FAT and CLR in milk 
(Abhishek M et al. 2017). They devised a low-cost 
method for determining mil parameters such as 
SNF (Solid but not FAT), FAT, and CLR. They 
built a smart milk quality detection system in this 
study (Mahale et al. 2018). Cantered on an Arduino 
controller, this is a low-cost and effective milk 
parameter measurement device. The pH, FAT, and 
SNF of the milk were all determined by this method 
(Solid but not Fat). To capture milk parameters, the 
researcher created an Arduino-based device (Bhamre 
et al. 2016). This device detects milk parameters such 
as volume, pH, CLR, and SNF. To measure quantity, 
pH, and CLR, this device employs an ultrasonic 
sensor, a pH sensor, and a lactometer. This device 
is both inexpensive and reliable at detecting milk 
adulteration. Many methods of milk testing are 
explored in this review article. Various types of 
sensors were used to detect milk parameters. If 
milk has been processed for a long time, microbial 
activity can be identified using a gas sensor. For 
milk parameter analysis, ultrasound techniques are 
most widely used (Chavan et al. 2019). This system 
is built on the Internet of Things (IoT) (Internet of 
Thinking). Sensors are attached to an Intel Galileo 
Gen II board in this system. The results of the sensor 
were saved on the cloud by this Intel Galileo Gen II. 
Every consumer has access to the data that has been 
saved. To access these details, you must first log in 
(Abhishek M et al. 2017). The AVR Microcontroller 
(Bhade et al. 2019) is used to implement this device. 
All sensors are integrated with this system to create 
a compact system. This analyses the quality of milk 

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Arduino-Based Milk Quality Monitoring System
249
Print ISSN : 0974-1712
Online ISSN : 2230-732X
using various parameters and displays the results 
on an LCD screen. These types of milk monitoring 
systems can help avoid problems in dairies. This 
system is lightweight and simple to run.