Feng Lei, Zhu Susu, Liu Fei, He Yong, Bao Yidan, Zhang Chu
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, 310058 China.
Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou, 310058 China.
Plant Methods. 2019 Aug 8;15:91. doi: 10.1186/s13007-019-0476-y. eCollection 2019.
Hyperspectral imaging has attracted great attention as a non-destructive and fast method for seed quality and safety assessment in recent years. The capability of this technique for classification and grading, viability and vigor detection, damage (defect and fungus) detection, cleanness detection and seed composition determination is illustrated by presentation of applications in quality and safety determination of seed in this review. The summary of hyperspectral imaging technology for seed quality and safety inspection for each category is also presented, including the analyzed spectral range, sample varieties, sample status, sample numbers, features (spectral features, image features, feature extraction methods), signal mode and data analysis strategies. The successful application of hyperspectral imaging in seed quality and safety inspection proves that many routine seed inspection tasks can be facilitated with hyperspectral imaging.
近年来,高光谱成像作为一种用于种子质量和安全评估的无损快速方法备受关注。本文通过介绍高光谱成像技术在种子质量和安全测定中的应用,阐述了该技术在种子分类分级、活力与生活力检测、损伤(缺陷和真菌)检测、清洁度检测以及种子成分测定方面的能力。还总结了高光谱成像技术在各类种子质量和安全检测中的应用,包括分析的光谱范围、样品品种、样品状态、样品数量、特征(光谱特征、图像特征、特征提取方法)、信号模式和数据分析策略。高光谱成像在种子质量和安全检测中的成功应用证明,许多常规种子检测任务都可以借助高光谱成像得到简化。