<![CDATA[Weight-based egg grading is a routine yet essential task for laying hen farms seeking consistent product quality and efficient operations, but the conventional practice of visual estimation remains time consuming and error prone. This study presents the design and implementation of an automated weight-based egg sorting system that combines a load cell sensor with an HX711 amplifier module and a web application for monitoring. The research process covered needs assessment, system design, hardware and software development, and comprehensive testing across 100 egg samples through three schemes, namely sensor accuracy, processing speed, and Black Box Testing. Findings indicate that the device automatically weighs eggs and sorts them into three classes, namely small, medium, and large, while recording and presenting the results through the web application. The load cell achieved 99% accuracy with an average error margin of 1%, and the system processed each egg in roughly 3.28 seconds, markedly outperforming the manual method's 5 to 10 second pace. All features also passed Black Box Testing. The resulting device proves capable of making the egg sorting workflow faster, more organized, and computerized relative to the manual approach previously relied upon.]]>
Copyrights © 2026
