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Recent advances in emerging techniques for non-destructive detection of seed viability: A review

文献类型： 外文期刊

作者： Xia, Yu 1 ; Xu, Yunfei 1 ; Li, Jiangbo 1 ; Zhang, Chi 1 ; Fan, Shuxiang 1 ;

作者机构： 1.Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

2.Natl Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

3.Minist Agr, Key Lab Agriinformat, Beijing 100097, Peoples R China

4.Beijing Key Lab Intelligent Equipment Technol Agr, Beijing 100097, Peoples R China

5.Northwest A&F Univ, Coll Mech & Elect Engn, Yangling 712100, Shaanxi, Peoples R China

关键词： Seed viability; NIR; Hyperspectral imaging; Raman spectroscopy; Infrared thermography; Soft X-ray imaging

期刊名称：ARTIFICIAL INTELLIGENCE IN AGRICULTURE

ISSN：

年卷期： 2019 年 1 卷

页码：

收录情况： SCI

摘要： Over the past decades, imaging and spectroscopy techniques have been developed rapidly with widespread ap-plications in non-destructive agro-food quality determination. Seeds are one of the most fundamental elements of agriculture and forestry. Seed viability is of great significance in seed quality characteristics reflecting potential seed germination, and there is a great need for a quick and effective method to determine the germination con-dition and viability of seeds prior to cultivate, sale and plant. Some researches based on spectra and/or image pro-cessing and analysis have been explored in terms of the external and internal quality of a variety of seeds. Many attempts have been made in image segmentation and spectra correction methods to predict seed quality using various traditional and novel methods. This review focuses on the comparative introduction, development and applications of emerging techniques in the analysis of seed viability, in particular, near infrared spectroscopy, hyperspectral and multispectral imaging, Raman spectroscopy, infrared thermography, and soft X-ray imaging methods. The basic theories, principle components, relative chemometric processing, analytical methods and prediction accuracies are reported and compared. Additionally, on the foundation of the observed applications, the technical challenges and future outlook for these emerging techniques are also discussed. & COPY; 2019 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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