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Ahmad Fikri
Politeknik Kesehatan Kemenkes Tanjung Karang
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Journal : Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)

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New Generation Indonesian Endemic Cattle Classification: MobileNetV2 and ResNet50 Fikri, Ahmad; Murni, Aniati
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 4 (2023): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i4.26659

Abstract

Cattle are an essential source of animal food globally, and each country possesses unique endemic cattle races. However, categorizing cattle, especially in countries like Indonesia with a large cattle population, presents challenges due to costs and subjectivity when using human experts. This research utilizes Computer Vision (CV) for image data classification to address this urgent need for automatic categorization. The main objective of this study is to develop a mobile-friendly model using CV techniques that can accurately detect and classify Indonesian endemic cattle races, such as Limosin, Madura, Pegon, and Simental. To achieve this, an object localization approach is employed to extract multiple features from distinct regions of each cattle image, including the head, ear, horn, and muzzle areas. The authors evaluate two CV algorithms, ResNet50 and MobileNetV2, to assess their performance in cattle race classification. The dataset used is facial photos of 147 cows. The results indicate that ResNet50 outperforms MobileNetV2, achieving a training data accuracy of 83.33% compared to MobileNetV2's 77.08%. Moreover, the validation accuracy of ResNet50 (76.92%) significantly surpasses MobileNetV2's (38.46%). The novel contribution of this research lies in developing a cost-effective and efficient solution for identifying endemic cattle breeds in Indonesia. The mobile-friendly model based on ResNet50 demonstrates superior accuracy, enabling cattle farmers and researchers to categorize cattle races with higher precision, reducing manual effort, and minimizing costs. In conclusion, this research provides a valuable advancement in automatic cattle categorization using CV techniques. By offering a practical and accurate model that considers Indonesia's specific cattle breeding conditions, this study contributes to the sustainable management and conservation of endemic cattle races while enhancing the efficiency of cattle farming practices.
Co-Authors Abdul Basit Abdul Muid Achmad Noerkhaerin Putra Adeko, Riang Adi Setiawan Afifah, Yuliana Agam Muarif Agus Adi Nursalim Ahmad Afandi Aini, Jannatul Alfriyanto, Mochammad Bimo Aliyanto, Warjidin Alwan, Muhammad Amalia, Nabila Amalia, Nabuia Aminah Zb Amrina, Amrina Anggraini, Meli Ani Firda, Ani Aniati Murni Anita Anita Anjani, Rani Ar Razi Ardinal, Eva Aris Munandar Aryo Seno Ashari, Muhammad Rayhan Aslamiyah, Mujadiddah Aspendi, Ronal Atika Atika Aulia Rahman Aulia, Rauzatul Azhari Muslim Aziz, Mahbub Humaidi Azliani, Mayaza Bambang Purwanto Basri Basri Bur, Suhatri BUSTIAN, BUSTIAN Cecep Abdul Cholik Danial - Dayanti, Putri Dedi Fariadi Desy Desy, Desy Dewi Purwaningsih Diana, Rahmi Dini Rizki Fadhlan, Muhammad Faisal Faisal Fathan, Yogi Arif Fauzan Sulman Fazira, Zetta Ferizal Masra Fikri Ulul Albab Firda, Hanisyah Ginting, Daria Hadi, Al Amin Hanif Hanif Harfi, Muhammad Harisah Harisah, Harisah Haryadi, Rendi Hasirah Hasirah Hasirah, Hasirah Hastuti, Retno Puji Herdiana, Ria Ibrahim, Ishak Idarianty idarianty Ismail Fahri Izza, Nurul Jaenal Gopur Asmanul Salam Jajat Imanudin Jalaluddin Jalaluddin Jamrizal, Jamrizal Jubaidi Jubaidi Jufri Karbito Karbito, Karbito Khairul Anshar Khairul Anshar Kiamuddin, Muhammad Kurniawati Kurniawati Kurniawati Liyana, Khaila Egi Lukmanul Hakim M Ridwan M. Yahuda Maaggazing, Fernand Faktur Daeng Mahroja, Siti Mahyuzar Mahyuzar Maisah Maisah Maizuar Maizuar Malintang, Jimmy Manurung, Melin Nekawati Masrullita, Masrullita Medyan Riza Mei Ahyanti Monika, Sintia Agnes MS, Uyun Nafiah Muhammad Johan Alibasa Muhammad Nuzan Rizki muhammad rizky, muhammad Muhyi Mohas Multama, Ilham Mulyawan, Rizka Munir, Moh. murwanto, bambang Musyaffa, Muhammad Hariq Nanda, Rizki Aulia Neneng Hasanah Neolaka, Aglom Mel Yoksam Novi Sylvia Noza Aflisia Noza Aflisia, Noza NURHADI Nurhaliza, Rada Nurhamidah Nurhamidah Nurlaila, Rizka Nurmalita Nurmalita Nurmansyah Nurmansyah, Nurmansyah Oktavia, Riski Amelia Prayudhy Yushananta Prianto, Nawan Purnama, Kiki Riiski Qori'ah, Maria Rafzan, Rafzan Rahman, Anggun Nata Utami Ramadhani, Sulis Ramadhano, Yanri Razi, Ar Reka Lagora Marsofely Restiani, Devi Indah Retno Puji Hastuti Retnowulan, Sri Rahayu Rijal Firdaus Rika Febriani, Rika RINI RINI RISA WAHYUNI EDT Rizka Mulyawan Rizki, Dini rohani, aceng asnawi Rozanna Dewi Safitri, Resdiana Sakinah Sakunti, Sri Ramdayeni Salahuddin Santosa, Iman Saputri, Renika Dwi Sari, Mona Linda Novita Sari, Sarmila Puspita Sarip Usman Sarip Usman Sarlinda, Febrina Shalihah, Imraatus Shalihah, Maratun Sidon, Bey siregar, annisa febrianti Sitepu, Rizki Ramadhan Siti Nurjannah Sri Juwita, Sri Sri Widowati SUDARMONO SUDARMONO Sugiarti Sugiarti Suhilmiati, Endhang Sulastri Sulastri Sulastri Sulastri Sulastri Sulastri Sulhatun Sulhatun Sururuddin Sururuddin, Sururuddin Suryatman Desri Syahrani, Irma Syahrizal Syahrizal Syamsul Bahri Syanqaiti, Muhammad Tanjung, Risky Marchel Taqwa, Muhammad Reyza Arif Taufik, Kemal Thalib, Supriadi Ulfa, Raudhatul Ulfa, Srimaria Usman, Sarip Wiansyah, Adif Wildania, Distiara Witro, Doli Wulandjani, Harimurti Yanti, Putri Novi Yulia Putri Yulisda, Desvina Yusraini yusraini Yusrizal Yusrizal Yusrizal Yusrizal Zainuddin Ginting Zenni Puspitarini Zufina, Rezki Zulnazri Zulnazri, Z