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Journal : Jurnal INFOTEL

Implementation of MobileNetV2 Transfer Learning for Chicken Egg Quality Classification Using Jetson Nano Sari, Dita Novita; Pratomo, Panji Andhika; Rahsel, Yoeyong; Jayadi, Akhmad; Kurniawan, Dwi Ely
JURNAL INFOTEL Vol 18 No 1 (2026): February
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v18i1.1499

Abstract

Eggs are an important source of animal protein and are widely consumed by the public. However, quality issues such as cracked or broken eggs are still frequently encountered during distribution and storage. Egg quality sorting has been largely done manually, making it prone to human error, time-consuming, and inconsistent. This study aims to develop a deep learning-based egg quality classification system with a transfer learning approach using the MobileNetV2 architecture that is efficient for devices with limited computing capacity. The research method involves acquiring egg image datasets (good and broken), preprocessing data with normalization and augmentation, designing a MobileNetV2 model, conducting two-stage training (feature extraction and fine-tuning), and evaluating model performance. Implementation was carried out both in the development environment and on a Jetson Nano edge computing device to test real-time application. The results showed that training with fine-tuning increased classification accuracy to 92% with an average precision, recall, and F1-score of 0.95. Confusion matrix evaluation demonstrated the model's ability to distinguish egg classes well, although there were still small errors in the classification of "good" eggs. Implementation on the Jetson Nano demonstrated relatively fast inference times (50–70 ms) with low resource consumption, demonstrating the system's applicability at both farm and small-to-medium scale distribution. This research successfully presented an accurate, lightweight, and practically implementable egg classification model as a first step towards automating the egg sorting process in the livestock industry. Implementasi pada Jetson Nano menunjukkan waktu inferensi yang relatif cepat (50–70 ms) dengan konsumsi sumber daya yang rendah, menunjukkan penerapan sistem pada pertanian dan distribusi skala kecil hingga menengah.
Co-Authors Achmad Solihin Agrananto Ghozanfar Akbar Husni Harun, Muhammad Amanda, Jeni Ananda, Novan Dwiki Ariq Cahya Wardhana Arpan, Atika Atik Purmiyati Aziz, Harry Azhar Dalimunthe, Ernando Rizki Dian Pratiwi Diovianto Putra Rakhmadani Dirga Rama Setiadi Dumauli, Magdalena Triasih Dwi Ely Kurniawan Dwi Handoko Elka Pranita Fadhillah, Kurnia Wati Faidar, Muhammad Anwar Sadat Faisal Dharma Adhinata Fajar Anggit Nugroho Fenty ariany Firdonsyah, Arizona Firman Fahrodin Firmansyah, Tanto Hardin Syah Nasution Hegen Persada I Wayan Sudana Ibrahim, Fauzi Imam Nawawi, Imam Jaka Persada Sembiring Lase, Devi Chrisman Leny Meilisa Lestari Wibowo Maghfiroh, Ulil Marsi Bani meilantika, Dian Merlinda Wibowo Muhamad Randyka Rojat Muhammad Dandy Muhammad Najib Dwi Satria Nanda Agustin, Silvia Ni Made Sukartini Novia Utami Novia Utami Putra Novia Utami Putri Nur Faqih Ardiantoro Nur Faqih Ardiantoro Okky Adi Darmawan Oktaviansyah, Raffi Ramadhan Permata, Rizka Pranita, Elka Prasetyo, Sigit Budi Pratomo , Panji Andika Pratomo, Panji Andhika Purnawanty, Jani Qadhli Jafar Adrian Rahsel, Yoeyong Ramadhan Lukman Ramadhan Oktaviansyah, Raffi Ramadhani Ahmad Prayoga Rikendry Rikendry Rini Nuraini Rizaldi, Mohammad Falakh Rizki Febrianto Sabiq, Mohammad Sadamaputra, Frendy Sari, Dita Novita Selo Jelang Pangestu Simanjuntak, Pastima Solehudin Solehudin Styawati Styawati Sulistia, Farah Susanto, Try Tasya Rizki Ramadhini Tri Darma Rosmala Sari Tria Prameswari Try Susanto Ulga, Nandy Thaher Usman Nur Ikhsan Wasil, Mohammad Wayan Rio Adi Pratama Widya Sylviana Wijayanto, Danur Yuri Rahmanto Yusak Maryunianta Yusra Fernando Zahwa Khoirunnisa