A neural network model for prediction of deoxynivalenol content in wheat grain based on weather data and preceding crop

Plant, Soil and Environment

Volumn 53, Issue 10, 2007, Pages 421-429

  Klem, Karel ^a   Vanova M ^a   Hajslova J ^b   Lancova K ^b   Sehnalova M ^b  

^a Agrotest Fyto Ltd   (Czech Republic)

^b INSTITUTE OF CHEMICAL TECHNOLOGY   (Czech Republic)

Author keywords

Crop rotation; Epidemiology; Forecast; Fusarium head blight; Mycotoxins; Rainfall; Soil cultivation; Temperature

Indexed keywords

FUSARIUM; TRITICUM AESTIVUM;

EID: 34948877689     PISSN: 12141178     EISSN: None     Source Type: Journal    
DOI: 10.17221/2200-pse     Document Type: Article

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