Non-destructive detection and grading of chilling injury-induced lignification of kiwifruit using X-ray computer tomography and machine learning

Wang, Jiahua; Lin, Yuqing; Li, Qiaocong; Lu, Zelin; Qian, Jiangjin; Dai, Huang; Pi, Fuwei; Liu, Xiaodan; He, Yong

doi:10.1016/j.compag.2024.108658

Computers and Electronics in Agriculture

2024

DOI: 10.1016/j.compag.2024.108658

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Non-destructive detection and grading of chilling injury-induced lignification of kiwifruit using X-ray computer tomography and machine learning

Jiahua Wang,

Yuqing Lin,

Qiaocong Li

et al.

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Cited by 5 publications

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3D structure reconstruction of plant‐based meat substitute through X‐ray microscopy method

Hu,

Zhang,

Shi

et al. 2025

Food Biomacromolecules

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ObjectivesThe texture of plant‐based meat substitute is closely related to its microstructure. X‐ray microscopy (XRM) is a non‐destructive imaging technology that can provide high‐resolution three‐dimensional (3D) images of the internal structure of objects. XRM can visualize the 3D structure of meat‐like fibrous structure and realize 3D reconstruction of fibrous structure.MethodsThis research method provides a more comprehensive spatial characterization of the plant protein fibrous structure formation process by 3D analysis through several steps of plant‐based meat substitute preparation, freeze‐drying and XRM measurement of the extrudate.Expected OutcomesThe non‐invasive nature of XRM makes it possible to visualize the internal structure without destroying fibrous structure. The research results provide new research methods and theoretical basis for the study of “plant‐based meat substitute” and other foods.

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3D structure reconstruction of plant‐based meat substitute through X‐ray microscopy method

Hu,

Zhang,

Shi

et al. 2025

Food Biomacromolecules

View full text Add to dashboard Cite

show abstract

Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals

Li,

Tan,

Cui

et al. 2024

Computers and Electronics in Agriculture

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Detection technologies, and machine learning in food: Recent advances and future trends

He,

Huang,

Wang

2024

Food Bioscience

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Non-destructive detection and grading of chilling injury-induced lignification of kiwifruit using X-ray computer tomography and machine learning

Cited by 5 publications

References 51 publications

3D structure reconstruction of plant‐based meat substitute through X‐ray microscopy method

3D structure reconstruction of plant‐based meat substitute through X‐ray microscopy method

Design and validation of novel maize grain cleaning loss detection system based on classification models of particle time-domain signals

Detection technologies, and machine learning in food: Recent advances and future trends

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