Assessment of Optical Properties and Monte Carlo-Based Simulation of Light Propagation in Blackhearted Potatoes

This study investigated the optical properties (OPs) and Monte Carlo (MC) simulations of light propagation in Healthy Group (HG) and Blackhearted Group (BG) potatoes. The MC simulation of light propagation indicated that both the photon packet weight and the penetration depth were significantly lower in blackhearted tissues than in healthy tissues. The simulation revealed deeper light penetration in healthy tissues than in the blackhearted tissues, approximately 6.73 mm at 805 nm, whereas the penetration depth in blackhearted tissues was much shallower (1.30 mm at 805 nm). Additionally, the simulated absorption energy at both 490 nm and 805 nm was higher in blackhearted tissues, suggesting that these wavelengths effectively detect blackheart in potatoes. The absorption (<i>μ</i><sub>a</sub>) and reduced scattering (<i>μ</i>'<sub>s</sub>) coefficients were obtained using Vis-NIR spectroscopy, which represented a notable increase in <i>μ</i><sub>a</sub> in BH tissues, particularly around 550-850 nm, and an increase in <i>μ</i>'<sub>s</sub> across the Vis-NIR region. Based on transmittance (<i>T</i>t), <i>μ</i><sub>a</sub> and <i>μ</i>'<sub>s</sub>, Support Vector Machine Discriminant Analysis (SVM-DA) models demonstrated exceptional performance, achieving 95.83-100.00% accuracy in Cross-Validation sets, thereby confirming the robustness and reliability of the optical features for accurate blackheart detection. These findings provide valuable theoretical insights into the accuracy and robustness of predictive models for detecting blackhearted potatoes.

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Journal
Sensors
Published
2025-06-13
DOI
https://doi.org/10.3390/s25123713
Citations
2
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
1.50
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article

Assessment of Optical Properties and Monte Carlo-Based Simulation of Light Propagation in Blackhearted Potatoes

Huangzhen Lv, Zheng Zhu, Xiaomei Huang, Yalin Guo et al.
2 citations
Sensors
Spectroscopy and Chemometric Analyses
1.50
article

Assessment of Optical Properties and Monte Carlo-Based Simulation of Light Propagation in Blackhearted Potatoes

Huangzhen Lv, Zheng Zhu, Xiaomei Huang, Yalin Guo, Mengyao Zhang, Zhiming Guo, Xilong Li, Z. Z. Du, Yakai He
article en
2 citations

Abstract

This study investigated the optical properties (OPs) and Monte Carlo (MC) simulations of light propagation in Healthy Group (HG) and Blackhearted Group (BG) potatoes. The MC simulation of light propagation indicated that both the photon packet weight and the penetration depth were significantly lower in blackhearted tissues than in healthy tissues. The simulation revealed deeper light penetration in healthy tissues than in the blackhearted tissues, approximately 6.73 mm at 805 nm, whereas the penetration depth in blackhearted tissues was much shallower (1.30 mm at 805 nm). Additionally, the simulated absorption energy at both 490 nm and 805 nm was higher in blackhearted tissues, suggesting that these wavelengths effectively detect blackheart in potatoes. The absorption (<i>μ</i><sub>a</sub>) and reduced scattering (<i>μ</i>'<sub>s</sub>) coefficients were obtained using Vis-NIR spectroscopy, which represented a notable increase in <i>μ</i><sub>a</sub> in BH tissues, particularly around 550-850 nm, and an increase in <i>μ</i>'<sub>s</sub> across the Vis-NIR region. Based on transmittance (<i>T</i>t), <i>μ</i><sub>a</sub> and <i>μ</i>'<sub>s</sub>, Support Vector Machine Discriminant Analysis (SVM-DA) models demonstrated exceptional performance, achieving 95.83-100.00% accuracy in Cross-Validation sets, thereby confirming the robustness and reliability of the optical features for accurate blackheart detection. These findings provide valuable theoretical insights into the accuracy and robustness of predictive models for detecting blackhearted potatoes.

SensorsVol. 25(12)
Jiangsu University (CN), Chinese Academy of Agricultural Mechanization Sciences (CN), Sinomach (China) (CN), Ministry of Agriculture and Rural Affairs (CN)
Openalex Percentile: Top 19%
Spectroscopy and Chemometric Analyses
1.50
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