Main aim of the study was to investigate compost products characteristics analyzed through an innovative approach based on the collection and the analysis of the spectra associated to each pixel belonging to an image representative of the surface of a compost sample. Reflectance spectra of selected compost samples have been thus acquired in the visible-near infrared field (VIS-NIR): 400-1000 nm. Correlations have been established between physical-chemical characteristics of the different compost products and their detected reflectance spectral signature. The study demonstrated as a full control of the composting can be achieved adopting the proposed hyperspectral imaging (HSI) based approach. The procedure allows to follow the transformations occurring inside the raw organic waste materials to originate biologically stable, humic substances. Furthermore the developed investigative architecture allows to perform the detection of pollutants negatively affecting the utilisation of this product for specific use.
Composting products quality assessment and monitoring by hyperspectral imaging based logics / Serranti, Silvia; Bonifazi, Giuseppe; Bonoli, A; Dall'Ara, A.. - STAMPA. - (2009), pp. 584-597. (Intervento presentato al convegno Internatonal Symposium MBT&MRF tenutosi a Hanover, Germany nel 12-14 Maggio 2009).
Composting products quality assessment and monitoring by hyperspectral imaging based logics
SERRANTI, Silvia;BONIFAZI, Giuseppe;
2009
Abstract
Main aim of the study was to investigate compost products characteristics analyzed through an innovative approach based on the collection and the analysis of the spectra associated to each pixel belonging to an image representative of the surface of a compost sample. Reflectance spectra of selected compost samples have been thus acquired in the visible-near infrared field (VIS-NIR): 400-1000 nm. Correlations have been established between physical-chemical characteristics of the different compost products and their detected reflectance spectral signature. The study demonstrated as a full control of the composting can be achieved adopting the proposed hyperspectral imaging (HSI) based approach. The procedure allows to follow the transformations occurring inside the raw organic waste materials to originate biologically stable, humic substances. Furthermore the developed investigative architecture allows to perform the detection of pollutants negatively affecting the utilisation of this product for specific use.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
