Applications of hyperspectral imaging technology in the food industry

Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 1(4), P. 251 - 263

Published: March 26, 2024

Language: Английский

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Rapid and non-destructive identification of Panax ginseng origins using hyperspectral imaging, visible light imaging, and X-ray imaging combined with multi-source data fusion strategies

Food Research International, Journal Year: 2024, Volume and Issue: 192, P. 114758 - 114758

Published: July 14, 2024

Language: Английский

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Review on the evolution in DNA-based techniques for molecular characterization and authentication of GMOs

Microchemical Journal, Journal Year: 2024, Volume and Issue: 198, P. 110176 - 110176

Published: Feb. 15, 2024

Language: Английский

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Artificial Intelligence-based Tools for Next-Generation Seed Quality Analysis

Crop Design, Journal Year: 2025, Volume and Issue: unknown, P. 100094 - 100094

Published: Jan. 1, 2025

Language: Английский

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Corn Seed Quality Detection Based on Spectroscopy and Its Imaging Technology: A Review

Agriculture, Journal Year: 2025, Volume and Issue: 15(4), P. 390 - 390

Published: Feb. 12, 2025

The quality assurance of corn seeds is utmost significance in all stages production, storage, circulation, and breeding. However, the traditional detection method has some disadvantages, such as high labor intensity, strong subjectivity, low efficiency, cumbersome operation, etc. In view this, it great to study more advanced methods. this paper, application near-infrared spectroscopy its imaging technology was reviewed. Firstly, principles these two technologies were introduced, their components, data acquisition, processing methods, well portability, compared discussed. Then, methods main (including variety purity, vigor, internal mycotoxins, other qualities frost damage, hardness, maturity, etc.) Breakthroughs innovations have been made spectral preprocessing recognition algorithms. characteristics function applied algorithm emphasized. Finally, challenges future research direction proposed, aiming further enhance accuracy, reliability, practicability technology. With rapid development technology, are also advancing with times. This not just for corn, but crops can be accurately detected by technologies. It will become an important means agricultural production inspection future.

Language: Английский

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Seed Quality Control and Assurance

Published: Jan. 1, 2025

Language: Английский

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In situ flexible wearable tomato growth sensor: monitoring of leaf physiological characteristics

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: March 21, 2025

In situ real-time monitoring of physiological information during crop growth (such as leaf chlorophyll values and water content) is crucial for enhancing agricultural production efficiency management practices. traditional monitoring, commonly used measurement methods, such chemical analysis determining drying methods measuring content, are all non- in techniques. These not only risk damaging the plants but may also impact plant health. Furthermore, complex setup spectrometers complicates data collection process, which limits their practical application monitoring. Therefore, there an urgent need to develop a novel, user friendly, plant-safe technology improve efficiency. To this end, study proposes novel wearable flexible sensor designed content. This lightweight, portable, allows placement, enabling continuous by conforming surfaces. Its spectral response covers multiple bands from near ultraviolet infrared, it equipped with active light source ranging infrared enable efficient measurements under various environmental conditions. addition, securely attached underside using magnetic suction method, ensuring long-term stable thus continuously collecting important throughout cycle. Analysis sensor-collected reveals that chlorophyll, Gaussian process regression shows best prediction performance multi-spectral scattering correction, R c 2 0.8261 RMSEc 1.7444 on training set; test set Rp² 0.7155 RMSE p 2.0374. Meanwhile, across preprocessing scenarios, gradient boosting can effectively predict it, yielding Rc² 0.9401 0.0028 0.6667 0.0067.

Language: Английский

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Three-dimensional modeling of moisture transport in wood using near-infrared hyperspectral imaging and X-ray computed tomography in conjunction with finite element analysis

Journal of Wood Science, Journal Year: 2024, Volume and Issue: 70(1)

Published: Jan. 26, 2024

Abstract In past studies, finite element analysis (FEA) methods have been used to simulate the thermal and moisture coupling of wood. However, challenges remain in achieving high-quality three-dimensional (3D) simulations, mainly because heterogeneous complex structure wood its difficult-to-detect internal structure, which makes modeling challenging, addition lack robust experimental techniques validate simulation results. this study, FEA model was refined by combining X-ray computed tomography (CT) near-infrared hyperspectral imaging (NIR-HSI). CT probe 3D density wood, a novel tetrahedral mesh constructed based on The NIR-HSI method visualizes distribution during adsorption desorption inside This result is then adjust parameters as reference value evaluate visualization results fit well with theoretical properties. can more accurately reflect spatial transfer trend at different points time. Therefore, NIR-HSI-based heat moisture-coupled proposed study be basis for optimizing drying provide

Language: Английский

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Quantitative analysis of the illegal addition of Atenolol in Panax notoginseng based on NIR–MIR spectral data fusion and calibration transfer

RSC Advances, Journal Year: 2024, Volume and Issue: 14(18), P. 12428 - 12437

Published: Jan. 1, 2024

To address the issue of common illegal addition Atenolol in Panax notoginseng, we propose an approach that realizes multivariate calibration transfer between different particle sizes based on near-infrared (NIR) and mid-infrared (MIR) spectral data fusion. achieve high prediction accuracy, construct three fusion schemes (full-spectrum fusion, feature-level decision-level fusion) combine NIR MIR data. Among schemes, UVE-SPA-PLS model for 120-mesh achieves optimal accuracy. Here, a Piecewise Direct Standardization (PDS) algorithm has been applied to from 100-mesh 80-mesh reduce influence size improve robustness model. The correlation coefficient (R2) 100-mesh, sets can reach 0.9861 0.9823, respectively. corresponding root mean square error (RMSE) are 0.1545 0.2045, This research provides method additions precious herbs reduces effect modeling, enabling high-precision quantitative detection. In addition, it important application prospects reducing experimental losses medicinal materials ensuring safe use Chinese Western medicines, which alternative non-destructive testing.

Language: Английский

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Portable Raman Spectroscopy and Fourier Transform Near Infrared Spectroscopy for the Quantification of Different Sinomenine Hydrochloride Crystal Forms

Journal of Pharmaceutical and Biomedical Analysis, Journal Year: 2024, Volume and Issue: 254, P. 116567 - 116567

Published: Nov. 14, 2024

Language: Английский

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