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Monitoring the Aging and Edible Safety of Pork in Postmortem Storage Based on HSI and Wavelet Transform

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Laser-Induced Plasma Spectrometry for Assessing Food Nutritional Quality and Safety: A Review

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Enhanced food authenticity control using machine learning-assisted elemental analysis

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Sci Rep, 2024, 14
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Machine learning in laser-induced breakdown spectroscopy: A review

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Laser-Induced Breakdown Spectroscopy Combined with Machine Learning for the Identification of Lung Cancer Tumors

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J Appl Spectrosc, 2025, 92, 166
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Multi-laser hyperspectral imaging system for food quality assessment

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Discrimination of Rice Varieties using Laser-Induced Breakdown Spectroscopy assisted with Principal Component Analysis (PCA)

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J. Phys.: Conf. Ser., 2025, 2974, 012009
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Rapid and nondestructive identification of rice storage year using hyperspectral technology

Xiaorong Sun, Xinpeng Zhou, Cuiling Liu, Chunlin Li, Shanzhe Zhang and Dongyu Zheng

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Application of Computer Image Recognition Algorithm in Agricultural Product Quality Inspection

Xiangyu Lu

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Application of spectroscopic techniques combined with chemometrics to the authenticity and quality attributes of rice

Shijie Shi, Zihan Tang, Yingying Ma, Cougui Cao and Yang Jiang

Critical Reviews in Food Science and Nutrition, 2025, 65, 913
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Origin traceability and adulteration detection of soybean using near infrared hyperspectral imaging

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Using machine learning to identify fraud, reduce injustice and improve human health of rice consumption through advanced provenance

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In-situ Detection of Rice Using Laser Induced Breakdown Spectroscopy and Machine Learning

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Spectroscopy, 2025, 14
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AI and laser-induced spectroscopy for food industry

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Food and Humanity, 2024, 3, 100413
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Identification and classification of concrete based on Laser-Induced Breakdown Spectroscopy and Laser-Induced Plasma Acoustic Signals

Renhui Si, Haixuan Chu, Wenhan Gao, Asiri Iroshan, Jun Feng, Hang Ji and Yuzhu Liu

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Applications of laser-induced breakdown spectroscopy in industrial measurement and monitoring: Multi-technology combination

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Improving LIBS-based mineral identification with Raman imaging and spectral knowledge distillation

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Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

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Analysis & Sensing, 2026, 6
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Adulteration Level Prediction and Screening in Bulk Rice Using Laser-Induced Breakdown Spectroscopy Coupled with Nonlinear Modeling

Michael Pérez-Rodríguez, Mariana Villarreal-Marines, Alberto Mendoza, José Anchieta Gomes Neto and Edilene Cristina Ferreira

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