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Kaveh Mollazade

Kaveh Mollazade

Academic rank: Associate Professor
ORCID: 0000-0001-7379-839X
Education: PhD.
ScopusId: 34771823000
HIndex:
Faculty: Faculty of Agriculture
Address: Room no. 243, 1st floor, Faculty of Agriculture
Phone: (+98) 87-33627723

Research

Title
Changes of backscattering imaging parameter during plum fruit development on the tree and during storage
Type
JournalPaper
Keywords
Fruit flesh firmness; Non-destructive test; Image processing; Normalized anthocyanin index; Full width at half maximum
Year
2016
Journal SCIENTIA HORTICULTURAE
DOI
Researchers Yousef Rezaei Kalaj ، Kaveh Mollazade ، Werner Herppich ، Christian Regen ، Martin Geyer

Abstract

Laser light backscattering imaging (LLBI) as a novel approach appears to be a promising technique for monitoring quality of horticultural products. The aim of this research was to investigate the feasibility of the non-destructive LLBI technique for the evaluation of plums quality indices during fruit development on tree and during storage. Plums of two cultivars were harvested four times during fruit development. At commercial harvest, fruit were stored at 2 ± 0.5 °C (90 ± 2% RH) for 28 days and 2 days at 20 °C with five measuring dates during storage. Experimental methods involved conventional measurements, i.e. fruit firmness, skin color, soluble solids content, dry matter content, and normalized anthocyanin index (NAI), and non-destructive LLBI at two wavelengths: 532 and 785 nm. The obtained backscattering images were characterized by variation of brightness of the backscattered light. As an objective measure full width at half maximum (FWHM) was calculated from these radial backscattering profiles. The reduction in FWHM532 was strongly correlated with the increase in anthocyanin content as indicated by NAI during fruit development. Furthermore, the increase in FWHM785 was strongly correlated with the decrease in fruit flesh firmness during fruit development on the tree and during storage. In conclusion, results suggest that the LLBI using appropriate wavelengths can be feasible for non-destructive prediction of NAI and firmness in plum fruit.