Deep Learning Approach to Cassava Disease Detection Using EfficientNetB0 and Image Augmentation
Cassava, a vital crop in the Philippines and other tropical regions, is highly susceptible to various diseases that drastically reduce its yield. Traditional inspection methods for detecting these diseases are manual, time-consuming, expensive, and prone to inaccuracies. While recent advances enable...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-04-01
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| Col·lecció: | Engineering Proceedings |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2673-4591/92/1/28 |
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