Classification of rice leaf diseases using transfer learning based on MobileNetV2 architecture
Rice leaf disease is a serious problem in the agricultural sector that can significantly reduce productivity. Early detection is necessary to minimize losses, but manual identification by agricultural experts is time-consuming and prone to error. This study aims to develop an automatic classificatio...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
EDP Sciences
2025-01-01
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| coleção: | EPJ Web of Conferences |
| Acesso em linha: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/29/epjconf_aiptec2025_01021.pdf |
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