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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics International Journal of Supply Chain Management Journal of Saintech Transfer Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences
Marischa Elveny, Marischa
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Transportation Other

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MobileChiliNet: convolutional neural network for chili leaves classification Rahman, Sayuti; Elveny, Marischa; Ramli, Marwan; Manurung, Dionikxon
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3757-3770

Abstract

Chili pepper (Capsicum annuum) is an important crop in many countries, including Indonesia, which plays an important role in local economy and food production. To meet the high demand, effective agricultural management, especially the diagnosis and treatment of plant diseases, is essential. This study aims to improve the accuracy of chili leaf disease classification while reducing the computational cost so that it can be applied to low-cost smart farming systems. Through the development of the MobileChiliNet architecture, which is the result of pruning and fine-tuning of MobileNetV2, this model achieves the best accuracy, better than other CNNs such as ResNet50 and VGG16. Testing with various optimizers and learning rate schedulers shows that AdamW with PolynomialDecay provides the best performance by increasing the validation accuracy to 96.48%. This approach successfully reduces the computational complexity while maintaining high accuracy, so that it can be implemented in smart farming systems at a lower cost.
Co-Authors Akbar Siregar, Muhammad Ananda, Rana Fathinah Efendi, Syahril Habib Satria Hartono Hartono Jaya, Ivan Mahyuddin K. M Nasution Manurung, Dionikxon Marwan Ramli Muhammad Rivai Muhammad Zarlis, Muhammad Nababan, Erna B Nasution, M.K.M. Nasution, Mahyuddin K.M Purnamasari, Fanindia Putri Nasution, Umaya Ramadhani M. O. Rahmad Syah, Rahmad Rahman, Sayuti Rizki Muliono, Rizki Sajadin Sembiring Sri Melvani Hardi Syah, Rahmad B. Y. Syah, Rahmad B.Y Syah, Rahmad Bayu Y. Syah, Rahmad B.