scholarly journals Internal defect scanning of sweetpotatoes using interactance spectroscopy

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246872
Author(s):  
Michael W. Kudenov ◽  
Clifton G. Scarboro ◽  
Ali Altaqui ◽  
Mike Boyette ◽  
G. Craig Yencho ◽  
...  

While standard visible-light imaging offers a fast and inexpensive means of quality analysis of horticultural products, it is generally limited to measuring superficial (surface) defects. Using light at longer (near-infrared) or shorter (X-ray) wavelengths enables the detection of superficial tissue bruising and density defects, respectively; however, it does not enable the optical absorption and scattering properties of sub-dermal tissue to be quantified. This paper applies visible and near-infrared interactance spectroscopy to detect internal necrosis in sweetpotatoes and develops a Zemax scattering simulation that models the measured optical signatures for both healthy and necrotic tissue. This study demonstrates that interactance spectroscopy can detect the unique near-infrared optical signatures of necrotic tissues in sweetpotatoes down to a depth of approximately 5±0.5 mm. We anticipate that light scattering measurement methods will represent a significant improvement over the current destructive analysis methods used to assay for internal defects in sweetpotatoes.

1998 ◽  
Vol 42 (1) ◽  
pp. 55-60 ◽  
Author(s):  
C Dreyfus ◽  
A Aouadi ◽  
R. M Pick ◽  
T Berger ◽  
A Patkowski ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yan-Ge Tian ◽  
Zheng-Nan Zhang ◽  
Shuang-Qi Tian

Nondestructive testing with sensor technology is one of the fastest growing and most promising wheat quality information analysis technologies. Nondestructive testing with sensor technology benefits from the latest achievement of many disciplines such as computer, optics, mathematics, chemistry, and chemometrics. It has the advantages of simplicity, speed, low cost, no pollution, and no contact. It is widely used in wheat quality analysis and testing research. This article summarizes nondestructive testing with sensor technology for wheat quality, including the mechanical model, hyperspectral technology, Raman spectroscopy, and near-infrared techniques for wheat mechanical properties, storage properties, and physical and chemical properties (such as moisture, ash, protein, and starch) in the past decade. Based on the current research progress, big data technology needs a lot of research in spectral data mining, modeling algorithm optimization, model robustness, etc. to provide more data support and method reference for the research and application of wheat quality.


2013 ◽  
Author(s):  
Sven Schröder ◽  
David Unglaub ◽  
Alexander von Finck ◽  
Matthias Hauptvogel ◽  
Marcus Trost ◽  
...  

2020 ◽  
Vol 61 (4) ◽  
pp. 725-733
Author(s):  
Chaorai Kanchanomai ◽  
Shintaroh Ohashi ◽  
Daruni Naphrom ◽  
Wakana Nemoto ◽  
Phonkrit Maniwara ◽  
...  

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