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Journal : Science in Information Technology Letters

Vision-based chicken meat freshness recognition system using RGB color moment features and support vector machine Sutarman, Sutarman; Avianto, Donny; Wibowo, Adityo Permana
Science in Information Technology Letters Vol 4, No 2 (2023): November 2023
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/sitech.v4i2.1230

Abstract

Chicken meat is a highly sought-after food product among various segments of the general population, known for its high nutritional value and easy accessibility. Presently, meat identification is primarily conducted manually, relying on visual inspection or tactile assessment of the meat's color and texture. However, this approach presents several limitations, particularly when consumers lack the discernment to differentiate the quality of chicken meat freshness. This research aims to identify the freshness level of chicken meat using the Support Vector Machine method, employing the extraction of RGB color moment features to determine the freshness of the meat. The feature extraction process involves calculating the percentage of intensity values for R (Red), G (Green), and B (Blue) in each chicken meat image. Based on the image processing results, the percentage of intensity values, particularly in the R and B parameters, can be used as determining factors. The study involves software testing using fresh and non-fresh chicken meat. The developed system can identify the freshness level of fresh chicken meat with an accuracy rate of 71.6% using the linear kernel SVM and 60.5% using the RBF kernel SVM.  This research represents a significant step toward the automation of chicken meat freshness assessment, potentially reducing food waste and enhancing food safety in the food industry. Further research and development could improve the system's accuracy and expand its applications in various food quality control settings.Chicken meat is a highly sought-after food product among various segments of the general population, known for its high nutritional value and easy accessibility. Presently, meat identification is primarily conducted manually, relying on visual inspection or tactile assessment of the meat's color and texture. However, this approach presents several limitations, particularly when consumers lack the discernment to differentiate the quality of chicken meat freshness. This research aims to identify the freshness level of chicken meat using the Support Vector Machine method, employing the extraction of RGB color moment features to determine the freshness of the meat. The feature extraction process involves calculating the percentage of intensity values for R (Red), G (Green), and B (Blue) in each chicken meat image. Based on the image processing results, the percentage of intensity values, particularly in the R and B parameters, can be used as determining factors. The study involves software testing using fresh and non-fresh chicken meat. The developed system can identify the freshness level of fresh chicken meat with an accuracy rate of 71.6% using the linear kernel SVM and 60.5% using the RBF kernel SVM.  This research represents a significant step toward the automation of chicken meat freshness assessment, potentially reducing food waste and enhancing food safety in the food industry. Further research and development could improve the system's accuracy and expand its applications in various food quality control settings.
Co-Authors Abdusamad, Zainudin Ade Irawan Adi Kistoro, Hanif Cahyo Adityo Permana Wibowo Adiwinata, Akbar Agus Budiman Agus Purnomo Agus Riyanto Agus Salim Agusli, Rachmat Agusli, Rahmat Ahmad Luqman Hakim, Ahmad Luqman AHMADI Aji, Taufiq Purnomo Amartani, Dewi Amarullah, Amarullah Anang Zaini Gani Andriani Eko Prihatiningrum, Andriani Eko Anton Mulyono Azis Aprilianto, Dedy Ardiansyah, Yusuf Ardiyanti, Anita Ari Saputra, Ari Arif Rahman Aritonang, Reanty Teresa Asih, Euis Suci Asmelita, Ester Asrowi Asrowi Assholikhah, Aisyah Dirra Awan Setiawan Binti Salleh, Rosmalily Br Ginting, Emmita Cahyani, Nilam Putri Cecep Hilman Choirul Huda Darmawan, Teguh Iman Dedi Aprianto Dedi Dedi Dewi, Mila Setia Diah Supatmiwati Dini Eka Putri Donny Avianto Dzulhaq, Muhammad Iqbal Efendi, Syahril Erwin Yulianto Fadillah, Muhammad Adzka Fardhan Fahmi, Dede Ferdiyansyah, Eka Fuad, Hilmi Gayus Simarmata, Gayus Ghifari, Alif Ginting, Nina Maksimiliana Gunawan Gunawan Hadiwijaya, Dudung Hairani Hairani Hamami, Tasman Hanafri, Muhammad Iqbal Herlina Herlina Herlina Herman Mawengkang Hermawan, Endang Heru Irianto Heru Kurnianto Tjahjono Heryanto, Agus Hidayat, Denny Hidayat, Hilmi Hidayat, Kun Hopid, Abdul Husna, Difa’ul Husni Wakhyudin Iman Sudirman Indra Indra Ineke Nursih Widyantari, Ineke Nursih Insani, Azzelia Nur Iqbal, Muchamad Irma Muti Irmansyah, Deri Irwandi, Hafiz Isral, Isral Izyul Adha, Hijazzi Lutfiah J.A, Sutarno Jalaluddin, Ahmad Khafidh Janingsih, Janingsih Joko S Dwi Raharjo Katrin Evalastri Hutapea, Katrin Evalastri Khairani Ratnasari Siregar Kistoro, Hanif Cahyo Adi Labib, Mayzia Khusnul Lailiyah, Masfufatul Lalu Zazuli Azhar Mardedy Lestari, Windi Mega Li’aini, Arrohmatus Syafaqoh M. Ilham Akbar Manurung, Rodiyah Aini Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mardiyana Mardiyana Maria Wisnu Kanita Marlenih, Marlenih Maulana, Luthfi Ahmad Mety Zalynda, Putri Mohammad Okki Hardian Muhammad Chirzin Muhammad Innuddin Muhammad Ragil Kurniawan Muhammad Rivai Muhammad Zarlis, Muhammad Mukhaer Pakkanna Mulyeni, Sri Murniadi, Murniadi Neny Sulistianingsih Ni Ketut Putri Nila Sudewi Noviana, Asep Anggi Anggara Nunuk Suryani Nurmawan, Hari Nurudin, M. Juli Ofara, Wafika Open Darnius Opim Salim Sitompul paham ginting Pahlevi, Muhammad Syafrizal Parapat Gultom Parjiman, Parjiman Pertiwi, Swastika Tri Poltak Sihombing Prahasti, Tyas Prawido Utomo Putri Vina, Febrian Sania Putri Yuliyana, Nur Rizky Radiyanto, Radiyanto Rahim, Ika Mustika Rahma, Fatimah Nur Rahmad, Muhamad Nur Rahman, Silvi Anggraini Rahmawati, Lela Rakhmawati, Fibri Ramadhani, Lintang Ramdhan, Syaipul Rochman, Abdur Safitri, Amalia Nur Ajeng Saib Suwilo Saladin, Muhamad Pazri Saputri, Ade Lia Sari, Agnesta Linda Sari, Atika Mayang Septiyani, Nuke Setyawan, Agus Hendra Sidik, Achmad Sihotang, Ernes Rapida Simanullang, Herlin Simbolon, Mardianton Sirait, Rosana Junita Siti Rohmah Slamet Riyanto Sofyan, Asep Abdul Sri Jaya Lesmana Srimulyeni Sukanti, Lina Sukmawati, Eka Sulastri, Neneng Sunarko, Kusuma Melati Faizun Sutipyo R dan Amrih Latifah, Sutipyo R dan Sutipyo, Sutipyo Syafi'i, Muhammad Syahputra, Muhammad Romi Syamsurrijal, Syamsurrijal Tullah, Rahmat Utami, Yola Kinanthi Wening Wahyu Kamil Syarifaturrahman, Wahyu Kamil Weber, Gerhard Wilhelm Wira Hendri Wulandari, Sefti Yasyfiya, Rabbali Afdhal Yayah, Yayah Yonata, Hendrian Yudistira, Arie Yusron Masduki, Yusron Zainudin Abdussamad Zuhry, Muh.