Biasioli, F.; Aprea, E.; Granitto, P.M.; Carlin, S.; Gasperi, F. (2010). Multiclass classification study of raspberry cultivars based on innovative data mining techniques (PDA,RF, dPLS) and volatile organic compounds analyses (GC/MS and PTR/MS). In: 28th International Horticultural Congress: S01.049. handle: http://hdl.handle.net/10449/19325

Multiclass classification study of raspberry cultivars based on innovative data mining techniques (PDA,RF, dPLS) and volatile organic compounds analyses (GC/MS and PTR/MS)

Biasioli, Franco;Aprea, Eugenio;Granitto, Pablo M.;Carlin, Silvia;Gasperi, Flavia
2010-01-01

2010
Biasioli, F.; Aprea, E.; Granitto, P.M.; Carlin, S.; Gasperi, F. (2010). Multiclass classification study of raspberry cultivars based on innovative data mining techniques (PDA,RF, dPLS) and volatile organic compounds analyses (GC/MS and PTR/MS). In: 28th International Horticultural Congress: S01.049. handle: http://hdl.handle.net/10449/19325
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/19325
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact