The distribution of laser light in the tissue of Golden Delicious and Idared apples was measured with backscattering imaging and simulated with Monte Carlo (MC) method. The settings of the vision system (sensitivity and resolution) and the parameters of the laser modules (wavelength, power and beam diameter) were used in a time resolved MC model to optimize the computation. The 1 ns pulse containing 1.42 × 10 7 (at 670 nm) and 2.49 × 10 8 (at 785 nm) photons was selected for the simulation of backscattering on the fruit surface. The statistical effect of the scattering coefficient (µ s ), absorption coefficient (μ a ), and anisotropy factor ( g ) on photon flux and shape of the backscattering profile was evaluated within ±20 % range relative to expected mean values for apple tissue (µ a = 0.63 cm −1 , µ s = 30.0 cm −1 and g = 0.8). The multi-factor ANOVA test pointed out the highest importance (p<0.001) of the anisotropy factor compared to the scattering and absorption coefficients. Decreasing value of anisotropy factor enhanced the maximum intensity and increased the decline of the gradient resulting in a rotation of the intensity profiles. The measured backscattering profiles for Golden Delicious apples responded to bruising (p<0.05) already after one day storage.
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Binzoni, T., Leung, T.S., Giust, R., Rüfenacht, D., Gandjbakhche, A.H. (2008) Light transport in tissue by 3D Monte Carlo: Influence of boundary voxelization. Computer Methods and Programs in Biomedicine , 89: 14–23
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Lu, R. (2004) Multispectral imaging for predicting firmness and soluble solids content of apple fruit. Postharvest Biology and Technology , 31: 147–157
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Peng, Y., Lu, R. (2006) Improving apple fruit firmness predictions by effective correction of multispectral scattering images. Postharvest Biology and Technology , 41(3): 266–274
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Peng, Y., Lu, R. (2007) Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images. Journal of Food Engineering , 82: 142–152
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Peng, Y., Lu, R. (2008) Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content. Postharvest Biology and Technology , 48: 52–62
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Qing, Z., Ji, B., Zude, M. (2007b) Wavelength selection for predicting physicochemical properties of apple fruit based on near-infrared spectroscopy. Journal of Food Quality , 30: 511–526
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Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu
Indexing and Abstracting Services:
- SCOPUS
- CABI
| 2021 | |
|---|---|
| Web of Science | |
| Total Cites WoS |
not indexed |
| Journal Impact Factor | not indexed |
| Rank by Impact Factor |
not indexed |
| Impact Factor without Journal Self Cites |
not indexed |
| 5 Year Impact Factor |
not indexed |
| Journal Citation Indicator | not indexed |
| Rank by Journal Citation Indicator |
not indexed |
| Scimago | |
| Scimago H-index |
8 |
| Scimago Journal Rank |
0,141 |
| Scimago Quartile Score | Environmental Engineering (Q4) Industrial and Manufacturing Engineering (Q4) Mechanical Engineering (Q4) |
| Scopus | |
| Scopus Cite Score |
0,8 |
| Scopus CIte Score Rank |
Industrial and Manufacturing Engineering 261/338 (Q4) Environmental Engineering 138/173 (Q4) Mechanical Engineering 495/601 (Q4) |
| Scopus SNIP |
0,381 |
| 2020 | |
|---|---|
| Scimago H-index |
8 |
| Scimago Journal Rank |
0,197 |
| Scimago Quartile Score |
Environmental Engineering Q4 Industrial and Manufacturing Engineering Q3 Mechanical Engineering Q4 |
| Scopus Cite Score |
33/69=0,5 |
| Scopus Cite Score Rank |
Environmental Engineering 126/146 (Q4) Industrial and Manufacturing Engineering 269/336 (Q3) Mechanical Engineering 512/596 (Q4) |
| Scopus SNIP |
0,211 |
| Scopus Cites |
53 |
| Scopus Documents |
41 |
| Days from submission to acceptance | 122 |
| Days from acceptance to publication | 40 |
| Acceptance rate | 86% |
| 2019 | |
|---|---|
| Scimago H-index |
6 |
| Scimago Journal Rank |
0,123 |
| Scimago Quartile Score |
Environmental Engineering Q4 Industrial and Manufacturing Engineering Q4 Mechanical Engineering Q4 |
| Scopus Cite Score |
18/33=0,5 |
| Scopus Cite Score Rank |
Environmental Engineering 108/132 (Q4) Industrial and Manufacturing Engineering 242/340 (Q3) Mechanical Engineering 481/585 (Q4) |
| Scopus SNIP |
0,211 |
| Scopus Cites |
13 |
| Scopus Documents |
5 |
| Progress in Agricultural Engineering Sciences | |
|---|---|
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| Progress in Agricultural Engineering Sciences | |
|---|---|
| Language | English |
| Size | B5 |
| Year of Foundation |
2004 |
| Volumes per Year |
1 |
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1 |
| Founder | Magyar Tudományos Akadémia  |
| Founder's Address |
H-1051 Budapest, Hungary, Széchenyi István tér 9. |
| Publisher | Akadémiai Kiadó |
| Publisher's Address |
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| Responsible Publisher |
Chief Executive Officer, Akadémiai Kiadó |
| ISSN | 1786-335X (Print) |
| ISSN | 1787-0321 (Online) |
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