Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
Anthracnose is one of the primary diseases that affect olive production before and after harvest, causing severe damage and economic losses. The objective of this work is to detect this disease in the early stages, using hyperspectral images and advanced modelling techniques of Deep Learning (DL) an...
| Autores principales: | , , , , , , , |
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| Formato: | contributionToPeriodical |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/7962 https://www.sciencedirect.com/science/article/pii/S0168169921002696 |
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