Comparison of ResNet50, ResNet101, and ResNet152 Architectures in Image-Based Rice Leaf Disease Classification
Rice leaf diseases are one of the main threat that can reduce rice crop productivity especially if they are not detected at an early stage. Conventional disease identification still has limitations because it relies on visual observation and the experience of farmers. Therefore, this study proposes...
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| Format: | Artigo |
| Sprache: | Inglês |
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LPPM Universitas Mohammad Husni Thamrin
2026-03-01
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| Schriftenreihe: | Jurnal Teknologi Informatika & Komputer |
| Online-Zugang: | https://journal.thamrin.ac.id/index.php/jtik/article/view/3289 |
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