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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Hortikultura Indonesia (JHI) Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Journal of Tropical Soils Siscode Jurnal Teknologi Informasi dan Ilmu Komputer Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ampere Edu Komputika Journal Kultivasi Turbo : Jurnal Program Studi Teknik Mesin Jurnal Penelitian Kelapa Sawit Antivirus : Jurnal Ilmiah Teknik Informatika bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Budimas : Jurnal Pengabdian Masyarakat Abdi Masya International Journal Of Computer, Network Security and Information System (IJCONSIST) Teknika Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Sanskara Hukum dan HAM Jurnal Bisnis dan Manajemen West Science West Science Interdisciplinary Studies West Science Interdisciplinary Studies Information Technology International Journal (ITIJ) West Science Social and Humanities Studies West Science Agro Jurnal Komplikasi Anestesi IPSIKOM INERSIA Modem : Jurnal Informatika dan Sains Teknologi Journal of Social Sciences and Technology for Community Service Journal of Computer Science Advancements
Budi Nugroho
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Journal : bit-tech

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Optimization of Tea Leaf Disease Detection Based on YOLOv8 Using CBAM and BFP Armijantoro, Gilang Rahmadhan; Nugroho, Budi; Via, Yisti Vita
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3394

Abstract

Early identification of tea leaf diseases is essential for sustaining crop productivity and preventing significant yield losses, making accurate automated detection a critical requirement in modern agricultural management. This study aims to improve the robustness of YOLOv8 for disease detection by integrating two complementary optimization modules chosen for their suitability in addressing common challenges in plant imagery: the Convolutional Block Attention Module (CBAM), which enhances discriminative feature focus under complex visual noise, and the Bidirectional Feature Pyramid Network (BiFPN), which strengthens multi-scale feature fusion to capture small or low-contrast lesions. The target diseases include Algal Leaf Spot, Brown Blight, and Grey Blight, using a combined dataset of primary field images and secondary data from Kaggle. Four models were developed—YOLOv8n (baseline), YOLOv8-CBAM, YOLOv8-BiFPN, and YOLOv8-CBAM-BiFPN. Experimental results demonstrate consistent performance gains across all enhanced variants. The baseline model obtained a precision of 0.760, recall of 0.735, and mAP50 of 0.793. Incorporating CBAM increased precision to 0.824 and recall to 0.780, while BiFPN yielded the highest recall of 0.820 with superior multi-scale generalization. The combined CBAM-BiFPN model achieved the strongest overall results, with a precision of 0.879, recall of 0.814, mAP50 of 0.886, and mAP50–90 of 0.739. These findings indicate that integrating CBAM and BiFPN substantially enhances YOLOv8’s capability in complex leaf-disease scenarios and offers practical potential for deployment in real agricultural settings to support faster decision-making and more effective disease management.
Co-Authors -, Rahmat AA Sudharmawan, AA Achmad Azhari Sidik Adi Laksono, Surya Afif Faishal Ageng Setiani Rafika Agung Karuniawan Agung Mustika Rizki Agung Supriyanto, Agung 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 Armijantoro, Gilang Rahmadhan 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 I Gede Susrama Mas Diyasa Ibayasid Ibrahim, Mohd Tarmizi Indriyati, Lilik Tri Islam, Muhammad Qamarul J. Kuleh Jamaldi, Agus Jepriani, Sujiati Jie, Lie Joko Suryono Judijanto, Loso Juniardi, Salim Kristiawan, Y. Yulianto Kukuh Murtilaksono Kurniawan, Abdi Lestari, Tri Rahayu Kuwat Margono Margono 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 Prihatin, Kukuh purbaningtyas, daru Purwono Purwono Purwono, Purwono RAHAYU WIDYASTUTI Rahmat Rahmat Rahmawati, Heni Rahayu Rahmawati, Rahmawati Rahutomo, Suroso Ramadhan, Nur Muhammad Rengga, Fedrian Ahmadthur 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 Syarifah Hudayah Teguh Firmansyah Tistro, Rafian Tumingan Untung Sudadi Vita Via, Yisti Wahid, Radical Rakhman Wardana, Amir Wibowo, Haryo Bagus Wiyono Wiyono Yasmuna , M. Rajiv Yisti Vita Via Yusuf, Sri Malahayati