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Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology

文献类型： 外文期刊

作者： Zhang, Shuheng 1 ; Zeng, Hanguo 1 ; Ji, Wei 1 ; Yi, Kun 1 ; Yang, Shuangfeng 1 ; Mao, Peisheng 1 ; Wang, Zhanjun 2 ; Yu, Hongqian 2 ; Li, Manli 1 ;

作者机构： 1.China Agr Univ, Coll Grassland Sci & Technol, Beijing 100193, Peoples R China

2.Ningxia Acad Agr & Forestry Sci, Inst Desertificat Control, Yinchuan 750002, Ningxia, Peoples R China

关键词： seed vigor; multispectral imaging; seed germination; seed viability; multivariate analysis

期刊名称：SENSORS （ 影响因子：3.847； 五年影响因子：4.05 ）

ISSN：

年卷期： 2022 年 22 卷 7 期

页码：

收录情况： SCI

摘要： Seed vigor is an important index to evaluate seed quality in plant species. How to evaluate seed vigor quickly and accurately has always been a serious problem in the seed research field. As a new physical testing method, multispectral technology has many advantages such as high sensitivity and accuracy, nondestructive and rapid application having advantageous prospects in seed quality evaluation. In this study, the morphological and spectral information of 19 wavelengths (365, 405, 430, 450, 470, 490, 515, 540, 570, 590, 630, 645, 660, 690, 780, 850, 880, 940, 970 nm) of alfalfa seeds with different level of maturity and different harvest periods (years), representing different vigor levels and age of seed, were collected by using multispectral imaging. Five multivariate analysis methods including principal component analysis (PCA), linear discriminant analysis (LDA), support vector machine (SVM), random forest (RF) and normalized canonical discriminant analysis (nCDA) were used to distinguish and predict their vigor. The results showed that LDA model had the best effect, with an average accuracy of 92.9% for seed samples of different maturity and 97.8% for seed samples of different harvest years, and the average sensitivity, specificity and precision of LDA model could reach more than 90%. The average accuracy of nCDA in identifying dead seeds with no vigor reached 93.3%. In identifying the seeds with high vigor and predicting the germination percentage of alfalfa seeds, it could reach 95.7%. In summary, the use of Multispectral Imaging and multivariate analysis in this experiment can accurately evaluate and predict the seed vigor, seed viability and seed germination percentages of alfalfa, providing important technical methods and ideas for rapid non-destructive testing of seed quality.

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