Agricultural and urban waste in tropical area: The help of Near Infrared Spectroscopy to better orientate their valorization between soil fertilization and energy production
For a safe utilisation of organic waste as valuable supply for agricultural soils or for energy production, an in-depth scientific knowledge of the ir nature and impacts on the environment is required. Near Infrared (NIR) Spectroscopy was chos en as an alternative to classical methods for laboratory characterisations of the so-called Exoge nous Organic Matter (EOM). This study reported EOM characterization in terms of their agronomic an d/or energetic potential, the help of NIR for predicting those characteristics and a scoring meth od allowed to choose the best recycling-way for EOM. As results, we noticed that diversified EOM in duced different potential, and NIR was helpful for characteristics prediction. Also, classificatio n elaboration of EOM and a scoring system were appropriate to orientate the reuse of tropical EOM.
| Main Authors: | , , , |
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| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
INRA
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| Subjects: | Q70 - Traitement des déchets agricoles, 000 - Autres thèmes, U30 - Méthodes de recherche, U10 - Informatique, mathématiques et statistiques, F04 - Fertilisation, |
| Online Access: | http://agritrop.cirad.fr/570569/ http://agritrop.cirad.fr/570569/1/document_570569.pdf |
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| Summary: | For a safe utilisation of organic waste as valuable supply for agricultural soils or for energy production, an in-depth scientific knowledge of the ir nature and impacts on the environment is required. Near Infrared (NIR) Spectroscopy was chos en as an alternative to classical methods for laboratory characterisations of the so-called Exoge nous Organic Matter (EOM). This study reported EOM characterization in terms of their agronomic an d/or energetic potential, the help of NIR for predicting those characteristics and a scoring meth od allowed to choose the best recycling-way for EOM. As results, we noticed that diversified EOM in duced different potential, and NIR was helpful for characteristics prediction. Also, classificatio n elaboration of EOM and a scoring system were appropriate to orientate the reuse of tropical EOM. |
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