Rumetrics: A Digital Solution for Precision Livestock Data Management and Genetic Selection in Developing Countries
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Abstract
Introduction: Collecting and managing livestock data is essential for improving the efficiency of genetic selection and supporting data-driven decisions, ultimately enhancing productivity and profitability. Despite growing recognition of its importance, especially with the advent of precision agriculture, livestock data management remains a significant challenge due to the limited availability of user-friendly digital tools, particularly in developing countries. This study aimed to present Rumetrics, a desktop application designed to facilitate the entry, management, and exploration of livestock morphometric data for farmers and researchers.
Materials and methods: Rumetrics was developed using ElectronJS, AngularJS, and SQLite to provide a local, offline solution for livestock data management. The application enables users to input morphometric measurements, organize datasets, and perform descriptive statistical analyses. Automated features such as graphical visualization were incorporated to enhance usability and support informed decision-making without requiring an internet connection.
Results: Implementing Rumetrics allowed users to efficiently store, manage, and analyze livestock morphometric data. The application provided intuitive graphical analyses and comprehensive statistical summaries, making data exploration accessible to both researchers and livestock professionals. User feedback indicated increased efficiency in data handling and improved capacity for data-driven decisions compared to the manual methods.
Conclusion: Rumetrics as an offline application proved to be an effective tool for local livestock data management, offering accessible storage and real-time statistical analysis.
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