Harnessing image processing for precision disease diagnosis in sugar beet agriculture
Sugar beet, a sugar crop, faces a persistent threat from foliar and root diseases, finally leading to substantial yield losses. Traditional methods of disease identification and severity assessment are often time-consuming, error-prone, and impractical, particularly in large production areas. In res...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-11-01
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| Series: | Crop Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772899424000247 |
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