Food-scanner applications in the fruit and vegetable sector
In the past few years, portable and smartphone-based diagnostic technologies have found
their way into the agri-food industry. The aim of this research was to evaluate the perfor
-
mance of portable near-infrared (NIR) spectrometers, so called food-scanners, with regard to
their predictive accuracy of important quality parameters of fruit and vegetables. Food-scan-
ner measurements were performed in combination with destructive measurements of the
corresponding quality trait (sugar content, dry matter, relative water content) on a wide range
of produce from the fruit and vegetable assortment. This study evaluated dry matter content
of apple, avocado, blueberry, table grape and tangerine, which yielded cross validation re-
sults (r²) of up to 0.95, 0.87, 0.94, 0.92 and 0.92 respectively. Furthermore, the evaluation of
food-scanner spectra for the prediction of sugar content of blueberry, kiwi, mango, persim-
mon, table grape, tangerine and tomato yielded cross validations (r²) of up to 0.95, 0.84, 0.80,
0.75, 0.95, 0.93, and 0.87. Furthermore, relative water content of ginger obtained a cross val-
idation correlation of r² = 0.91. The results show that these traits can be predicted with a high
degree of accuracy using non-destructive measurements performed with three commercially
available food-scanners SCiO
TM
, F-750 Produce Quality Meter, and H-100F. Consequently,
food-scanners can be used as objective measurement tools along the supply chain of fresh
produce to quickly determine fruit quality. In addition, a practical example shows the poten-
tial of these instruments for non-destructive quality assessment in incoming goods control
at fruit and vegetable wholesalers over a time period of several weeks. Furthermore, possible
areas of application of food-scanners along the supply chain of fresh produce are discussed,
possibilities for practical applications are presented and time-saving means are highlighted
LANDTECHNIK
76(1), 2021, 52–67
Food-scanner applications in the fruit and
vegetable sector
Simon Goisser, Sabine Wittmann, Heike Mempel
In the past few years, portable and smartphone-based diagnostic technologies have found
their way into the agri-food industry. The aim of this research was to evaluate the perfor
-
mance of portable near-infrared (NIR) spectrometers, so called food-scanners, with regard to
their predictive accuracy of important quality parameters of fruit and vegetables. Food-scan-
ner measurements were performed in combination with destructive measurements of the
corresponding quality trait (sugar content, dry matter, relative water content) on a wide range
of produce from the fruit and vegetable assortment. This study evaluated dry matter content
of apple, avocado, blueberry, table grape and tangerine, which yielded cross validation re-
sults (r²) of up to 0.95, 0.87, 0.94, 0.92 and 0.92 respectively. Furthermore, the evaluation of
food-scanner spectra for the prediction of sugar content of blueberry, kiwi, mango, persim-
mon, table grape, tangerine and tomato yielded cross validations (r²) of up to 0.95, 0.84, 0.80,
0.75, 0.95, 0.93, and 0.87. Furthermore, relative water content of ginger obtained a cross val-
idation correlation of r² = 0.91. The results show that these traits can be predicted with a high
degree of accuracy using non-destructive measurements performed with three commercially
available food-scanners SCiO
TM
, F-750 Produce Quality Meter, and H-100F. Consequently,
food-scanners can be used as objective measurement tools along the supply chain of fresh
produce to quickly determine fruit quality. In addition, a practical example shows the poten-
tial of these instruments for non-destructive quality assessment in incoming goods control
at fruit and vegetable wholesalers over a time period of several weeks. Furthermore, possible
areas of application of food-scanners along the supply chain of fresh produce are discussed,
possibilities for practical applications are presented and time-saving means are highlighted.
- Titel
- Food-scanner applications in the fruit and vegetable sector
- Medien
- Landtechnik
- Heft
- 1
- Band
- 76
- Autoren
- M.Sc. Simon Goisser, Sabine Wittmann, Prof. Dr. Heike Susanne Mempel
- Herausgeber
- KTBL
- Seiten
- 52-67
- Veröffentlichungsdatum
- 25.03.2021
- Projekttitel
- Zerstörungsfreie Qualitätsbewertung von Obst und Gemüse entlang der Supply Chain mit Hilfe von Food-Scannern
- Zitation
- Goisser, S.; Wittmann, S.; Mempel, H. (2021): Food-scanner applications in the fruit and vegetable sector. Landtechnik 76 (1), S. 52-67. DOI: 10.15150/lt.2021.3264