Feasibility of Vis/NIR spectroscopy and image analysis as basis of the development of smart-drying technologies
| dc.contributor.author | Sturm, Barbara | es_ES |
| dc.contributor.author | Moscetti, Roberto | es_ES |
| dc.contributor.author | Crichton, S.O.J. | es_ES |
| dc.contributor.author | Raut, Sharvari | es_ES |
| dc.contributor.author | Bantle, Michael | es_ES |
| dc.contributor.author | Massantini, Riccardo | es_ES |
| dc.contributor.funder | European Commission | es_ES |
| dc.date.accessioned | 2019-03-01T08:13:36Z | |
| dc.date.available | 2019-03-01T08:13:36Z | |
| dc.date.issued | 2018-09-07 | |
| dc.description.abstract | [EN] Drying is a complex, dynamic, unsteady and nonlinear process that, when not optimized on a system level, may be responsible for (1) significant quality degradation and (2) energy wastage. Consequently, new drying technologies must be designed combining non-invasive at-/on-/in-line advanced measurement and control systems with models cross-linking all relevant aspects of product quality changes and heat and mass transfer phenomena. This paper presents preliminary results on the use of RGB imaging, NIR spectroscopy and Vis-NIR hyperspectral imaging for real-time monitoring of physicochemical changes of apples and carrots during drying. | en_EN |
| dc.description.accrualMethod | OCS | es_ES |
| dc.description.bibliographicCitation | Sturm, B.; Moscetti, R.; Crichton, S.; Raut, S.; Bantle, M.; Massantini, R. (2018). Feasibility of Vis/NIR spectroscopy and image analysis as basis of the development of smart-drying technologies. En IDS 2018. 21st International Drying Symposium Proceedings. Editorial Universitat Politècnica de València. 171-178. https://doi.org/10.4995/IDS2018.2018.7616 | es_ES |
| dc.description.sponsorship | The authors gratefully acknowledge CORE Organic Plus for financial support through the SusOrganic project titled: ‘Development of quality standards and optimized processing methods for organic produce’ (Nr: 2814OE006). | es_ES |
| dc.description.upvformatpfin | 178 | es_ES |
| dc.description.upvformatpinicio | 171 | es_ES |
| dc.format.extent | 8 | es_ES |
| dc.identifier.doi | 10.4995/IDS2018.2018.7616 | |
| dc.identifier.isbn | 9788490486887 | |
| dc.identifier.uri | https://riunet.upv.es/handle/10251/117465 | |
| dc.language | Inglés | es_ES |
| dc.publisher | Editorial Universitat Politècnica de València | es_ES |
| dc.relation.conferencedate | Septiembre 11-14, 2018 | es_ES |
| dc.relation.conferencename | 21st International Drying Symposium | es_ES |
| dc.relation.conferenceplace | Valencia, Spain | es_ES |
| dc.relation.ispartof | IDS 2018. 21st International Drying Symposium Proceedings | es_ES |
| dc.relation.pasarela | OCS\7616 | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP7/618107/EU/Coordination of European Transnational Research in Organic Food and Farming Systems/ | |
| dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/IDS/ids2018/paper/view/7616 | es_ES |
| dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
| dc.rights.accessRights | Abierto | es_ES |
| dc.subject | Drying | es_ES |
| dc.subject | Dehydration | es_ES |
| dc.subject | Dewatering | es_ES |
| dc.subject | Emerging technologies | es_ES |
| dc.subject | Products quality | es_ES |
| dc.subject | Process control | es_ES |
| dc.subject | Environmental | es_ES |
| dc.subject | Evaporation | es_ES |
| dc.subject | Sublimation | es_ES |
| dc.subject | Diffusion | es_ES |
| dc.subject | Energy | es_ES |
| dc.subject | Intensification | es_ES |
| dc.subject | Chemometrics | es_ES |
| dc.subject | Artificial Intelligence | es_ES |
| dc.subject | Deep learning | es_ES |
| dc.title | Feasibility of Vis/NIR spectroscopy and image analysis as basis of the development of smart-drying technologies | es_ES |
| dc.type | Capítulo de libro | es_ES |
| dc.type | Comunicación en congreso | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dspace.entity.type | Publication | |
| upv.uuid | c9c2ccfd-ef07-4b69-ad8d-e37ae358fc5f | es_ES |
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