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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM31387

Smart Milk Quality Analysis and Grading using IOT

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM31387

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MPKL

Miss. Patole Kavita L

D

Dr.G.U.Kharat

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Abstract

India’s Agriculture is an important part of India’s economy, and the dairy sector provides to the country’s profitability. As we all know, the global has grown at a faster rate, with people embracing a more affluent lifestyle to meet shifting expectations and needs. As a result, it is critical to reform the current farming and dairy management practices in India in different criteria, such as PH, FAT, classifications of various milk characteristics, and so on. Another concern is that the process is done manually, which makes it susceptible to errors. As a result, it is necessary to reduce physical labor to improve results. The current system must be replaced with a new one that utilizes automated milk sample measuring technology. In our proposed system, we have developed a low-cost and reliable milk parameter detection and analysis system that uses an Arduino controller. On the other hand, the milk quality is checked, evaluated, and shown in a matter of seconds. As a result, the goal of implementing the suitable information technology stated in this project is to make information symmetric in the market, thereby minimizing problems of adverse selection and tedious work.

KEYWORDS

Micro-controller IoT Module TDS Sensor pH Sensor Load Cell MQ135 Sensor

Cite This Article

Miss. Patole Kavita L, Dr.G.U.Kharat, "Smart Milk Quality Analysis and Grading using IOT," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

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Publication Date

12/31/45403

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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