Dynamic selection of environmental variables to improve the prediction of aphid phenology : a machine learning approach

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This is a repository copy of

Dynamic selection of environmental variables to improve the

prediction of aphid phenology : a machine learning approach

.

White Rose Research Online URL for this paper:

http://eprints.whiterose.ac.uk/127857/

Version: Accepted Version

Article:

Holloway, Paul, Kudenko, Daniel orcid.org/0000-0003-3359-3255 and James, Bell (2018)

Dynamic selection of environmental variables to improve the prediction of aphid phenology

: a machine learning approach. Ecological Indicators. pp. 512-521. ISSN 1470-160X

https://doi.org/10.1016/j.ecolind.2017.10.032

eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse

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