00974nam0-2200301 --450 991080179720332120240208144803.0978600986275720240208d2008----kmuy0itay5050 baitaITa 001yy<<Il >>Genere Crepidotus in EuropaGiovanni Consiglio e Ledo Setticon la collaborazione di Antonio Orteae Diaz, Giovanni Robich e Alfredo VizziniCasalecchio di RenoA.M.B. Centro Studi Micologici2008344 p.ill.25 cm579.523itaConsiglio,Giovanni1585574Setti,Ledo1587418Robich,GiovanniOrtega Diaz,AntonioVizzini,AlfredoITUNINAREICATUNIMARCBK9910801797203321579.5 CONG 20081026/2024FAGBCFAGBCGenere Crepidotus in Europa3875199UNINA01433nam 22003853 450 991086104090332120240411080230.00-7503-4057-6(MiAaPQ)EBC31253040(Au-PeEL)EBL31253040(CKB)31392339600041(EXLCZ)993139233960004120240411d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSpectroscopy and Machine Learning for Water Quality Analysis1st ed.Bristol :Institute of Physics Publishing,2022.©2021.1 online resource (127 pages)IOP Ebooks Series0-7503-3048-1 Spectroscopy and sensor technology is routine in water quality evaluation, coupling with artificial intelligence is opening a new era of quality monitoring and predictive analysis. This book acquaints readers with recent advances and applications for sectors including environmental protection, industry, agriculture, and drinking water provision.IOP Ebooks SeriesShukla Ashutosh Kumar1741198MiAaPQMiAaPQMiAaPQBOOK9910861040903321Spectroscopy and Machine Learning for Water Quality Analysis4167347UNINA