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

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@article{a668452e8b564c3589840a0eb8847ccd,

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

author = "Paul Holloway and Daniel Kudenko and Bell James",

year = "2018",

month = feb,

day = "19",

doi = "10.1016/j.ecolind.2017.10.032",

language = "English",

volume = "88",

pages = "512--521",

journal = "Ecological Indicators",

issn = "1470-160X",

publisher = "Elsevier",

}

TY - JOUR

T1 - Dynamic selection of environmental variables to improve the prediction of aphid phenology

T2 - a machine learning approach

AU - Holloway, Paul

AU - Kudenko, Daniel

AU - James, Bell

PY - 2018/2/19

Y1 - 2018/2/19

U2 - 10.1016/j.ecolind.2017.10.032

DO - 10.1016/j.ecolind.2017.10.032

M3 - Article

VL - 88

SP - 512

EP - 521

JO - Ecological Indicators

JF - Ecological Indicators

SN - 1470-160X

ER -