Team

Dr. Arman Arefi

Wissenschaftlicher Mitarbeiter
Anschrift Universität Kassel
Fachbereich Ökologische Agrarwissenschaften
Fachgebiet Agrartechnik
Nordbahnhofstr. 1 a
D- 37213 Witzenhausen
Raum
Telefon +49 5542 98-1679
Bild von Dr. Arman  Arefi

Forschungsschwerpunkte

(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

Veröffentlichungen

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.

Projekte

Agro-food quality process monitoring based on non-destructive optical techniques: I am experienced in Biospeckle Imaging and Laser-light Backscattering Imaging.

Currently I am involved in a Hyperspectral and Multispectral Imaging-based project. I’d like to broaden my knowledge to other techniques such as X-ray Imaging, Magnetic Resonance Imaging, Raman Imaging, Fluorescence Imaging, and Thermography.

Image Processing and Machine Learning applications in agro-food sector