Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning
Anthracnose, caused by Colletotrichum sp. infections, poses a significant threat to mango production worldwide, resulting in substantial losses. This devastating disease is challenging to detect and control, primarily due to its ability to spread rapidly. The methods currently used to control anthra...
| Main Authors: | , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Elsevier
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.11939/8834 https://www.sciencedirect.com/science/article/abs/pii/S0925521423004933 |
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