Moscetti, Roberto; Raponi, Flavio; Sturm, Barbara; Nallan Chakravatula, Swathi Sirisha and Massantini, Riccardo (2019) Feasibility of computer vision as Process Analytical Technology tool for the drying of organic apple slices. In: Proceedings of Eurogrying 2019, July 10-12, 2019, Torino, Italy.
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Summary in the original language of the document
Usage of computer vision (CV) as Process Analytical Technology tool in drying of apple slices was tested. Samples were subjected to various anti-browning treatments at sub- and atmospheric pressures, and dried at 60°C up to a moisture content (dry basis) of 0.18 g/g. CV-based prediction models of changes in moisture content (wet basis) were developed and promising results were obtained (R2P > 0.99, RMSEP = 0.01÷0.06 and BIASP < 0.06 in absolute value), regardless of the anti-browning treatment.
EPrint Type: | Conference paper, poster, etc. |
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Type of presentation: | Paper |
Keywords: | image analysis, dipping treatments, vacuum impregnation, chemometrics, smart drying, SusOrgPlus |
Subjects: | Food systems > Food security, food quality and human health Food systems > Processing, packaging and transportation |
Research affiliation: | European Union > CORE Organic > CORE Organic Cofund > SusOrgPlus Germany > University of Kassel > Department of Agricultural Engineering and Agricultural Engineering in the Tropics and Subtropics Italy > Univ. Tuscia |
Horizon Europe or H2020 Grant Agreement Number: | 727495 |
Related Links: | https://projects.au.dk/coreorganiccofund/core-organic-cofund-projects/susorgplus/, https://www.susorgplus.eu/ |
Deposited By: | Moscetti, Ass. Prof. Roberto |
ID Code: | 36551 |
Deposited On: | 12 Nov 2019 09:41 |
Last Modified: | 29 Jan 2020 11:10 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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