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Eko Pramono
SD Negeri Soka Wonosari
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : Sistemasi: Jurnal Sistem Informasi

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Enhancing Deep Learning-based Classification of Cassava Leaf Diseases using CLAHE and SMOTE Tribiakto, Herlandro; Sunyoto, Andi; Pramono, Eko
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5530

Abstract

Efficient detection of foliar diseases in cassava (Manihot esculenta) is essential for sustaining crop productivity and ensuring food security, particularly in regions vulnerable to environmental stress. However, accurate identification remains a challenge due to the widespread occurrence of diseases such as Cassava Mosaic Disease (CMD), Cassava Bacterial Blight (CBB), and Cassava Brown Streak Disease (CBSD), which continue to threaten cassava yields. This study addresses two major obstacles in cassava disease classification—uneven image quality and imbalanced class distribution—by implementing Contrast Limited Adaptive Histogram Equalization (CLAHE) and the Synthetic Minority Over-sampling Technique (SMOTE). A publicly available dataset from the Cassava Leaf Disease Classification competition on Kaggle was used, and two pretrained convolutional neural networks, EfficientNetV2B2 and DenseNet169, were fine-tuned through transfer learning. The images were resized, enhanced using CLAHE, and augmented before being split into training, validation, and test sets. Both models were trained for 10 epochs using identical configurations. Results indicate that EfficientNetV2B2 achieved higher classification accuracy (88.1%) than DenseNet169 (86.4%), with CLAHE contributing a 2–3% improvement in accuracy. While these results are slightly lower than those reported in previous studies employing extended training durations and advanced techniques such as focal loss, the lightweight approach presented here proves effective under computational constraints. The findings demonstrate the feasibility of developing scalable and resource-efficient disease detection systems, especially for mobile or edge devices. Future research should focus on longer training schedules, advanced loss functions, and validation using field-acquired images to further improve model performance in real-world agricultural settings.
Co-Authors *, Pramono , Agustiansyah Agus Karyanto Agustiyansyah, Agustiyansyah Aji, Kresno Kresno Alimuddin Alimuddin Yasin Alva Hendi Muhammad Andi Sunyoto Andreyestha Andreyestha Andri4, Rum Anjani, Dia Ardian Ardian Ari Wibisono, Bagas Arief Setyanto Atmadja, Bambang Soedijono Wiria Ayu, Sukma Azis, Azizah Bambang Soedijono W A, Bambang Soedijono Bayu Setiaji Benyamin Timotiwu, Paul Bernadhed, Bernadhed Billyam Budi Witjaksana, Budi Budiono, Arifin Nur Burmansah Burmansah Damo, Saca Dimas Sasongko Ditama, Septian DWI HAPSORO Ema Utami Ermawati Ermawati Fauzi, Moch Farid Franciscus Xaverius Susilo, Franciscus Xaverius Gautama, Sidartha Adi Ginting, Yohannes Cahya Gusnadi, Gunawan Hadi, Muhammad Syamsoel Hadjar Aswad, Fatqul Hidayat Pujisiswanto Jaka Purnama Jeki Kuswanto JULIANTI, MEGA Karpen Katarina Manik, Tumiar Komang Sutawan Kukuh Setiawan Kurnianti, Vidia Dwi Kusrini, Kusrini Kusuma, Yosep Riando Lia Lia Lidya Purnamasari, Lidya Loekas Soesanto M. Kamal Maharina, Maharina Merlita, Bella Muhammad Kamal Muhammad Khoiruddin Harahap Muktafin, Elik Hari Nababan, Erick Mikhail Vialli Nisa, Citra Khoirrun Novita, Hilda Yulia Nurastuti6, Wiji Oktavia, Rahma Paul Benyamin Timotiwu Poniman Poniman Prayoghi, M. Lukman Priatama, Rizki Priono, Priono Putra, Andriyan Dwi Rafika, Eni Rapiadi, Rapiadi Richky Faizal Amir Saddhadika, Adhi Khumara Safitri, Pipit Kurnia Sakti, Alfiana Revo Salsabila, Erika Fadia Sanjaya, Purba Selawati, Indria Sembodo, Dad Resiworo Jekti Setiawan, Wawan A Setyo Dwi Utomo SISWOYO Slameto, Andika Agus Sugata, Ary Suka Edah Angkat Sumiyanto, Ahmad Sumiyanto5, Ahmad Susanto Susanto Sutiyono sutiyono sutiyono Tejo Ismoyo, Tejo Tribiakto, Herlandro Tumiar Katarina Manik Tundjung Tripeni Handayani, Tundjung Tripeni Utomo, Dimas Prasetyo Wajar Bimantoro, Wajar Widjiyati, Nur Wiwi Widayani, Wiwi Yayuk Nurmiaty Yossy Ariyanto YUSNITA YUSNITA Zahrowani, Rizal Zonyfar, Candra