Maize disease identification based on optimized support vector machine using deep feature of DenseNet201
In recent times, maize diseases have become widespread globally, adversely impacting agricultural productivity and causing significant financial losses. Recognizing these diseases in maize leaves presents formidable challenges due to the complexities involved in extracting features from a dynamic en...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
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| Series: | Journal of Agriculture and Food Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666154323003319 |