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谷物质量和安全检测的高光谱成像技术的进步:一篇评论

Yuting Liang¹, Zhihua Li¹, Jiyong Shi¹

¹Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.

Foods (Basel, Switzerland)

|September 13, 2025

概括

超光谱成像 (HSI) 提供一种非破坏性的粮食质量和安全评估方法,改善全球粮食安全. 在HSI的进步解决了在谷物行业更广泛采用挑战.

科学领域:

农业科学农业科学
食品科学食品科学食品科学
频谱学是一种光谱学.

背景情况:

传统的谷物质量评估是劳动密集的,耗时的,破坏性的.
超光谱成像 (HSI) 通过整合空间和光谱数据,提供了一种非破坏性,高效和快速的替代方案.
在提高全球粮食安全和粮食部门的经济稳定方面,HSI技术至关重要.

研究的目的:

审查用于谷物质量和安全检测的高光谱成像 (HSI) 的最新进展.
分析HSI对全球粮食安全和经济稳定的影响.
确定HSI在谷物行业的挑战和未来影响.

主要方法:

对谷物分析中超光谱成像应用的最新科学文献的综述.
分析HSI在疾病检测,质量评估,物理化学性质分析,杀虫剂残留物识别和地理来源确定方面的能力.
识别阻碍HSI采用的技术和实践限制.

主要成果:

在过去五年中,各种谷物质量和安全参数的HSI应用取得了显著进展.
HSI展示了非破坏性,快速和准确的谷物分析的潜力.
主要挑战包括高成本,复杂的数据处理,以及对标准化模型的需求.

结论:

在提高谷物质量和安全检测方面,HSI技术具有显著的前景.
解决目前的局限性对于在谷物行业广泛采用HSI至关重要.
未来的影响包括提高粮食安全,可追溯性和粮食生产和供应链的可持续性.

关键词:

伪造检测伪造检测疾病检测检测疾病检测地理来源追踪追踪地理来源谷物安全谷物安全超光谱成像技术的使用.非破坏性测试是指非破坏性测试.频谱分析是一种分析.

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