Milk Dairy Management

Authors

  • Parth Khadkekar Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India
  • Ganesh Ganjave Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India
  • Saniya Shetake Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India
  • Mrudula Lokhande Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India
  • S.S.Jamadar Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Keywords:

ASP.NET, Dairy management system, Hyper Text Markup Language (HTML), Structured Query Language (SQL), WhatsApp

Abstract

In the dairy sector, building trust among farmers and owners of dairy companies is critically important. The case of (high) effectiveness of this customer loyalty widely depends on easy-to-understand transactions and well-managed documentation. To strengthen this confidence and to make working operations smooth, we suggest the adoption of a software facility which is to produce to promote and maintain transparency and accountability between farmers and farmers. Our software performs the main task of delivering to dairy farmers the notifications of milk that they supplied, filling the information on a sales receipt at the same time. Such notifications, which shall include the amount and personnel, are important for the farmers as they know how much they supply. One vital merit of this system is its capacity to prevent the risks that are caused by lost or unintentional misplacement of receipts. In summary, the real-time receipt notification system for milk privacy is a considerable step in building trust among the dairy industry members. Instantaneous transparency is encouraged by providing farmers with real-time data and accounting for farmers and owners; these things enable the process of selling farm goods to be less complicated. Eventually, using this technology puts dairy chain players in a better position to function with much certainty knowing that their transactions are precisely recorded up to the last details and can be retrieved any time they want.

Author Biographies

Parth Khadkekar, Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Student, Department of Computer Science and Engineering

Ganesh Ganjave, Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Student, Department of Computer Science and Engineering

Saniya Shetake, Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Student, Department of Computer Science and Engineering

Mrudula Lokhande, Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Student, Department of Computer Science and Engineering

S.S.Jamadar, Sanjay Ghodawat Institute, Atigre, Kolhapur, Maharashtra, India

Lecturer, Department of Computer Science and Engineering

Published

2024-04-06

How to Cite

Parth Khadkekar, Ganesh Ganjave, Saniya Shetake, Mrudula Lokhande, & S.S.Jamadar. (2024). Milk Dairy Management. Journal of Big Data Analytics and Business Intelligence, 1(1), 11–18. Retrieved from https://matjournals.net/engineering/index.php/JoBDABI/article/view/271

Issue

Section

Articles