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Journal : ITIJ

Implementation Of Hybrid EfficientNet V2 And Vision Transformer for Apple Leaf Diseases Classification Santoso, Sri Fuji; Hadi, Surjo; Nugroho, Budi; Mas Diyasa, I Gede Susrama
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.42

Abstract

The apple farming industry faces challenges in managing apple leaf diseases. Current manual detection methods have limitations in expertise variability, time required, potential delays in identification leading to disease spread, and difficulty distinguishing diseases with similar visual symptoms. This research aims to develop an accurate, efficient, and automated apple leaf disease classification system using a hybrid approach that combines EfficientNet V2 architecture and Vision Transformer. The main objectives are to improve disease detection accuracy, reduce computational requirements, facilitate more effective plant management, and support modern agricultural practices in the apple industry. This research uses a hybrid deep learning model that integrates EfficientNet V2 and Vision Transformer components. Experiments were conducted on an apple leaf disease dataset to evaluate model performance. Results show the effectiveness of this method in classifying apple leaf diseases, achieving 98.56% accuracy and an F1 score of 0.9856 on test data. The proposed model has 15.6 million parameters, lighter than the original EfficientNetV2S model with 20 million parameters. Training time was reduced to 6 minutes 32 seconds compared to the original EfficientNetV2S model that required 8 minutes 41 seconds for 5 epochs on the same dataset.
Co-Authors -, Rahmat AA Sudharmawan, AA Achmad Azhari Sidik Adi Laksono, Surya Ageng Setiani Rafika Agung Karuniawan Agung Mustika Rizki Ahmad, Raudah Akbar, Fawwaz Ali Akhmad Ridconi Alliah, Rahmadina Alwi, Salma Anandyawati, . Anas Dinurrohman Susila Anggraeni, Fetty Tri Anny Yuniarti Anugerah, Rico Putra Arafah, Salsabilla Putri Arif Agus Yulianto Arini, Rani Eka Atang Sutandi Awandi, Nadhif Mahardika Baba Barus Basuki Rahmat Masdi Siduppa Cale, Wolnough Cicilia Puji Rahayu Darda Effendi Debi Unsilatur Utami Dedi Nursyamsi Dermawan, Rahmansyah Dermawan Desi Nadalia Dian Koswara Edwar, Feabri Kurniawan Erlina Rahmayuni, Erlina Ernawati Eso Solihin Eva Yulia Puspaningrum Fachlevi, Muhammad Reza Fajar Setyawan, Handi Faridah Faridah Fernando Sitorus, Alberth Ghoni, Ruzlaini Hadi, Surjo Hari Agung Hayatu, Aiun Herning Indriastuti Heru Bagus Pulunggono Ibayasid Ibrahim, Mohd Tarmizi Indriyati, Lilik Tri Islam, Muhammad Qamarul Jepriani, Sujiati Jie, Lie Joko Suryono Judijanto, Loso Juniardi, Salim Kamil, Insan Karminto, Karminto Kristiawan, Y. Yulianto Kukuh Murtilaksono Kurniawan, Abdi Lestari, Tri Rahayu Kuwat Mas Diyasa, I Gede Susrama Maulana, Haris Maulana, Hendra Miftahul Nuril Silviyah Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Nadia Nuraniya Kamaluddin Noviala Dwijayanti, Ayunda Noviana Prima Nurwijayanti Oki Dwi Endras Setyo Oscar, Schersclight OWB, Sektalonir Prihatin, Kukuh purbaningtyas, daru Purwono Purwono Purwono, Purwono Putrawirawan, Ashadi RAHAYU WIDYASTUTI Rahmat Rahmat Rahutomo, Suroso Ramadhan, Nur Muhammad Reza Hanjaya Rija Sudirja Roedy Kristiyono, Roedy RR. Ella Evrita Hestiandari Santoso, Dwi Andreas Santoso, Sri Fuji Septiani, Nia Siswo Wardoyo Siti Nurzakiah Soelistianto, Farida Arinie Sri Ayu Winarti Sri Djuniwati Sri Indrawanti, Annisaa Sugiarto, Anton Sugimin . Sugiyanta Sujiati Jepriani Sukma, Azizah Marwa Sumarsih, Enok SUNARNO Suria Darma Tarigan Suroso , Priyo Suroso, Priyo Syaiful Anwar Teguh Firmansyah Tistro, Rafian Tumingan Untung Sudadi Vita Via, Yisti Wahid, Radical Rakhman Wardana, Amir Wibowo, Haryo Bagus Widiawati, Dhiana Dwi Wiyono Wiyono Yasmuna , M. Rajiv Yisti Vita Via Yusuf, Sri Malahayati