Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloAn application of vis-NIR reflectance spectroscopy and Artificial Neural Networks to the prediction of soil organic carbon content in southern Italy
Anno di pubblicazione2013
Autore/iLeone A.P.; Leone N.; Rampone S.
Affiliazioni autoriItalian National Research Council, Institute for Mediterranean Agriculture and Forest System, Italy; University of Sannio, Department of Science for Biology, Geology and Environment, Italy
Autori CNR e affiliazioni
  • inglese
AbstractUnderstanding soil properties is an essential prerequisite for sustainable land management. Assessment of these properties has long been gained through conventional laboratory analysis, which is considered costly and time consuming. Therefore, there is a need to develop alternative cheaper and faster techniques for soil analysis. In recent years, special attention has been given to vis-NIR reflectance spectroscopy and chemometrics. In this study we evaluated the potential of vis-NIR spectroscopy and Back Propagation Neural Networks (BPNN) for prediction of organic carbon (OC) of soils representative of three Mediterranean agro-ecosystems from the Campania region, southern Italy. An Artificial Neural Network (ANN) model was developed based on Multi-Layer Perceptron (MLP) network and trained by a Back-Propagation algorithm on reflectance data. The training and validation phases, confirmed by a ten fold cross validation methodology, led to a very satisfactory calibration of the BPNN model.
Lingua abstractinglese
Altro abstract-
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Pagine da1230
Pagine a1238
Pagine totali-
RivistaFresenius environmental bulletin
Attiva dal 1992
Editore: Parlar Scientific Publications - Freising
Paese di pubblicazione: Germania
Lingua: inglese
ISSN: 1018-4619
Titolo chiave: Fresenius environmental bulletin
Titolo proprio: Fresenius environmental bulletin.
Titolo abbreviato: Fresenius environ. bull.
Titoli alternativi:
  • FEB (Freising. Print)
  • Fresenius environmental bulletin (Print)
Numero volume della rivista22
Fascicolo della rivista-
Verificato da referee-
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-84878292330)
Parole chiaveMediterranean pedo-environments, Southern Italy, Soil properties, Organic carbon, is-NIR reflectance spectroscopy, Back Propagation Neural Networks
Link (URL, URI)
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Strutture CNR
  • ISAFoM — Istituto per i sistemi agricoli e forestali del mediterraneo
Moduli/Attività/Sottoprogetti CNR-
Progetti Europei-