Smart Cattle Management System Using MERN Stack: Design, Implementation and Evaluation

Abstract

The Indian dairy sector contributes approximately four percent to the national GDP and supports the livelihoods of more than 80 million families. Despite its economic significance, the vast majority of dairy farms continue to rely on manual, paper-based record-keeping practices. This paper describes the design, development, and empirical evaluation of a Smart Cattle Management System (SCMS) built on the MERN stack (MongoDB, Express.js, React.js, Node.js). The web-based system automates key farm operations cattle registration, daily milk production tracking, vaccination scheduling, breeding cycle monitoring, and financial management within a three-tier architecture secured by role-based access control and JSON Web Token authentication. The system was deployed on AWS EC2 and evaluated over a three-month pilot at a dairy farm managing 45 head of cattle. Key outcomes include a 99.6 percent reduction in record retrieval time (from 8 10 minutes to under three seconds), an 85 percent decrease i data-entry errors, a 58 percent improvement in vaccination compliance (from 60 percent to 95 percent), and a 12 percent increase in overall farm profitability. User acceptance testing with ten participants returned an average satisfaction score of 4.6 out of 5.0. The system is published as an open-source solution under the MIT license, providing a cost-effective and culturally adapted alternative to expensive foreign dairy management software.
'·-·**ÃÁ-**¹·¹/®¼/·MERN-Stack, -Dairy-Farm-Automation, -MongoDB, -React.js, -Node.js, -Smart-Agriculture, -Web Application, -India¶

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