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.
PDF
- Published Version
- English
350kB |
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 |
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 |
Repository Staff Only: item control page