Computers and Electronics in Agriculture . vol 156Paru le : 01/01/2019 |
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Ajouter le résultat dans votre panierCarDen: A software for fast measurement of wood density on increment cores by CT scanning / Philippe Jacquin in Computers and Electronics in Agriculture, vol 156 (January 2019)
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Titre : CarDen: A software for fast measurement of wood density on increment cores by CT scanning Type de document : Article/Communication Auteurs : Philippe Jacquin, Auteur ; Frédéric Mothe, Auteur ; Fleur Longuetaud, Auteur ; Antoine Billard, Auteur ; Baptiste Kerfriden , Auteur ; Jean-Michel Leban , Auteur Année de publication : 2019 Article en page(s) : pp 606 - 617 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] anatomie du bois
[Termes IGN] arbre (flore)
[Termes IGN] biomasse aérienne
[Termes IGN] densité du bois
[Termes IGN] forêt tempérée
[Termes IGN] tomographie
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Increment cores are often used in wood science for measuring wood density of trees non destructively and at large scale, for instance with the objective to assess the available biomass in a forest resource. This paper presents a software allowing to measure by X-ray computed tomography (CT) the wood density of thousands increment cores. The software is able to process 3000 cores per hour semi-automatically. Manual intervention may be required to control and eventually adjust the positioning of the cores. The software was tested on 30 trees from 13 temperate species. Two increment cores were taken from each tree: one 5 mm diameter core and one 4 mm diameter core. The obtained CT density of the cores was compared to reference data obtained by volume and mass measurement on the 5 mm cores. The reference data were used for tuning the software settings by leave-one-out cross validation method. The obtained root mean square error was below 10 kg/m3 (1.7%) for the 5 mm cores. For the 4 mm cores, the root mean square difference with the reference density of the 5 mm cores was 25 kg/m3 (4.2%). Numéro de notice : A2019-665 Affiliation des auteurs : LIF+Ext (2012-2019) Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.compag.2018.12.008 Date de publication en ligne : 14/12/2018 En ligne : https://doi.org/10.1016/j.compag.2018.12.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99929
in Computers and Electronics in Agriculture > vol 156 (January 2019) . - pp 606 - 617[article]