Marriage between variable selection and prediction methods to model plant disease risk
Predicting the risk of a disease in a pathosystem based on a set of climatic variables usually requires handling a high number of input variables, many of which are often irrelevant and/or redundant. Building linear predictive models entails not only dimensionality issues but also the negative impac...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/15634 https://www.sciencedirect.com/science/article/pii/S1161030123002630 https://doi.org/10.1016/j.eja.2023.126995 |
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