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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM26335

Milk Dairy Management

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM26335

Volume:

7 |

10 |

Oct 2023

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

PK

Parth Khadkekar

GG

Ganesh Ganjave

SS

Saniya Shetake

Ml

Mrudula lokhande

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Abstract

The dairy industry is a critical component of the agricultural sector, requiring efficient management systems to enhance productivity, ensure quality, and maintain traceability. This paper explores the development and implementation of a Milk Dairy Management System (MDMS) using modern web technologies, specifically Spring Boot and React JS, integrated with semantic tools. The system aims to streamline dairy farm operations, improve data management, and facilitate real-time decision-making. We discuss the historical context of dairy management, provide an analysis of current challenges, and demonstrate how web technologies and semantic tools can address these issues effectively.

KEYWORDS

spring boot sematic tools animal husbandry highest milk producer involves different of processes.

Cite This Article

Parth Khadkekar, Ganesh Ganjave, Saniya Shetake, Mrudula lokhande, "Milk Dairy Management," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023.

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Publication Date

7/24/2024

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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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