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Feasibility of computer vision as Process Analytical Technology tool for the drying of organic apple slices

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

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.
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 Cofund > SusOrgPlus
Germany > University of Kassel > Department of Agricultural Engineering and Agricultural Engineering in the Tropics and Subtropics
Italy > Univ. Tuscia
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:12 Nov 2019 09:41
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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