Implementation and Comparative Analysis of CNN and Transfer Learning Models (EfficientNetB0, MobileNetV2, and ResNet50) for Rice Leaf Disease Detection Based on Digital Images
Rice leaf diseases significantly reduce agricultural productivity, making early and accurate detection essential, particularly in rice-producing regions such as Indonesia. This study proposes an automated rice leaf disease detection system based on Convolutional Neural Networks (CNN) and transfer le...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
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Politeknik Negeri Batam
2025-12-01
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| Schriftenreihe: | Journal of Applied Informatics and Computing |
| Schlagworte: | |
| Online-Zugang: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/11616 |
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