home    about    browse    search    latest    help 
Login | Create Account

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.

[thumbnail of Eurodrying2019_full_paper_42_revision.pdf] PDF - Published Version - English
350kB


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.
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

Repository Staff Only: item control page

Downloads

Downloads per month over past year

View more statistics