An ensemble model for predicting Rhopalosiphum padi abundance

Entomologia Experimentalis et Applicata

Volumn 129, Issue 3, 2008, Pages 308-315

  Lankin Vega, G ^a   Worner, S P ^b   Teulon, D A J ^c  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b LINCOLN UNIVERSITY   (New Zealand)

^c THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

Author keywords

Aphididae; Artificial neural networks; Barley yellow dwarf virus; BYDV; Ecological modeling; Forecasting; Homoptera; Jackknifing; Long term historical data; Vector

Indexed keywords

ABUNDANCE; APHID; ARTIFICIAL NEURAL NETWORK; BARLEY; COMPARATIVE STUDY; DATA SET; ECOLOGICAL MODELING; ENSEMBLE FORECASTING; HISTORICAL RECORD; MODEL VALIDATION; MULTIPLE REGRESSION; TRAP (EQUIPMENT); VIRUS;

AUSTRALASIA; CANTERBURY [SOUTH ISLAND]; LINCOLN; NEW ZEALAND; SOUTH ISLAND;

APHIDIDAE; BARLEY YELLOW DWARF VIRUS; HEMIPTERA; HEXAPODA; LUTEOVIRUS; RHOPALOSIPHUM PADI;

EID: 56049094353     PISSN: 00138703     EISSN: 15707458     Source Type: Journal    
DOI: 10.1111/j.1570-7458.2008.00778.x     Document Type: Article

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