The Identification of Early Blight Disease on Tomato Leaves Utilizing DenseNet Based on Transfer Learning
Early blight disease initiated by the fungus Alternaria solani causes reduced tomato harvests of up to 86%. Identification of these diseases manually was prone to identification errors. Thus, it was required to involve deep learning to reduce oversight. This study aimed to determine the performance...
| Главные авторы: | , , , |
|---|---|
| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
EDP Sciences
2024-01-01
|
| Серии: | E3S Web of Conferences |
| Online-ссылка: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/30/e3sconf_interconnects2024_01003.pdf |