Characterizing the presence of oilseed rape feral populations on field margins using machine learning

Ecological Modelling

Volumn 212, Issue 1-2, 2008, Pages 147-154

  Pivard, Sandrine ^a   Demšar, Damjan ^b   Lecomte, Jane ^a   Debeljak, Marko ^b   Džeroski, Sašo ^b  

^a UNIVERSITÉ PARIS SACLAY   (France)

^b JO EF STEFAN INSTITUTE   (Slovenia)

Author keywords

Attribute ranking; Classification tree; Data mining; Feral population; Oilseed rape; Risk assessment

Indexed keywords

CROPS; CULTIVATION; DATA MINING; DATA STRUCTURES; LEARNING SYSTEMS; RISK ASSESSMENT;

ATTRIBUTE RANKING; CLASSIFICATION TREES; OILSEED RAPE POPULATIONS;

SEED;

ANGIOSPERM; CANOLA; DATA MINING; DATA SET; FERAL ORGANISM; FIELD MARGIN; IMMIGRATION; LEARNING; POPULATION DYNAMICS; RECRUITMENT (POPULATION DYNAMICS); RISK ASSESSMENT; SEED BANK; SORGHUM; WHEAT;

EURASIA; EUROPE; FRANCE; WESTERN EUROPE;

BRASSICA NAPUS; HELIANTHUS; TRITICUM AESTIVUM;

EID: 39149134646     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.10.012     Document Type: Article

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