Design and Development of an Internet of Things-Based Automatic Chicken Egg Sorting System for Real-Time Sorting and Monitoring

Kevin Arya Rizki Mahesa; Endi Sailul Haq; Indra Kurniawan; Galih Hendra Wibowo; Arif Fahmi

doi:10.61255/decoding.v4i3.1569

Authors

Kevin Arya Rizki Mahesa Politeknik Negeri Banyuwangi
Endi Sailul Haq Politeknik Negeri Banyuwangi
Indra Kurniawan Politeknik Negeri Banyuwangi
Galih Hendra Wibowo Politeknik Negeri Banyuwangi
Arif Fahmi Politeknik Negeri Banyuwangi

DOI:

https://doi.org/10.61255/decoding.v4i3.1569

Keywords:

Egg sorting, ESP32, Internet of Things, Load cell, Real-time monitoring

Abstract

Purpose – This study develops and evaluates an IoT-based egg sorter integrating weight grading, gas-response screening, automatic diversion, and monitoring.

Methods – The prototype combined an ESP32, a load cell with HX711, an infrared sensor, an MQ-135 sensor, and a servo actuator. Records were transmitted to a PHP REST API and MySQL database on a local server. Evaluation covered ten calibration masses, ten egg-weight measurements, separate gas-screening sample sets, infrared detection, ten end-to-end routing trials, server communication, and manual-versus-automatic sorting time.

Findings – Mean relative error was 0.33% for calibration masses and approximately 0.24% for egg measurements. The MQ-135 separated the selected good and spoiled sample groups using a threshold of 250 ppm-equivalent sensor-library units. All ten end-to-end trials routed eggs according to the assigned category. Server response averaged 1.17 s (SD 0.09 s). Sorting time decreased from 7.35 to 3.18 s per egg, a reduction of 56.73%.

Research implications – The small samples support preliminary functional feasibility. Routing agreement does not establish independently verified classification accuracy. Gas response was not traceable to a calibrated concentration standard, and several environmental and sensor-preparation conditions were unrecorded. Larger controlled studies are needed to validate quality screening and boundary-case grading.

Originality – The design integrates weight sensing, gas-response screening, mechanical diversion, and local-server records within one low-cost egg-sorting workflow.

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