Leaf and spike wheat disease detection & classification using an improved deep convolutional architecture
Wheat is the third most harvested and consumed grain in the world. However, a large part of wheat crop becomes spoiled due to diseases. There are over two dozen of wheat diseases that are harmful to the crops. Therefore, the manual diagnosis of these diseases becomes very challenging. Automatic whea...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914821001313 |