Team
Dr. Arman Arefi
Fachbereich Ökologische Agrarwissenschaften
Fachgebiet Agrartechnik
Nordbahnhofstr. 1 a
D- 37213 Witzenhausen
Research Specialisations
(2019–2023) —Development of multivariate regression models for
real-time monitoring of physicochemical changes of foodstuffs during
drying process using Vis-NIR optical imaging (more ...)
Leaders: Prof. Dr. Oliver Hensel
Dr. habil. Barbara Sturm
Funded by: DFG
Publications
https://www.researchgate.net/profile/Arman_Arefi
Please find the latest update of my publications here at google scholar
1. Arefi, A., Ahmadi Moghaddam, P., Modarres Motlagh, A., and Hassanpour, A. Towards real-time speckle image processing for mealiness assessment in apple. International Journal of Food Properties. 2017, 20: S3135-S3148.
2. Mollazade, K., and Arefi, A. Optical analysis using monochromatic imaging-based spatially-resolved technique capable of detecting mealiness in apple fruit. Scientia Horticulturae. 2017, 225: 589-598.
3. Mollazade, K., and Arefi, A. LightScatter: A comprehensive software package for non-destructive monitoring of horti-food products by monochromatic imaging-based spatially-resolved light scattering technology. Computers and Electronics in Agriculture. 2107, 142: 597-606.
4. Jamshidi, B., Arefi, A., and Minaei, S. Non-destructive prediction of apple firmness during storage based on dynamic speckle patterns. Journal of Agricultural Machinery. 2017, 7: 140-151.
5. Arefi, A., Ahmadi Moghaddam, P., Hassanpour, A., Mollazade, K., and Modarres Motlagh, A. Non-destructive identification of mealy apples using biospeckle imaging. Postharvest Biology and Technology. 2016, 112: 266–276.
6. Arefi, A., Ahmadi Moghaddam, P., Mollazade, K., Hassanpour, A., Valero, C., and Gowen, A. Mealiness detection in agricultural crops - Destructive and nondestructive tests: A review. Comprehensive Reviews in Food Science and Food Safety. 2015, 14(5): 657-680.
