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A Self-developed System for Visual Detection of Vegetable Seed Vigor Index

文献类型： 外文期刊

作者： Li, Zhen 1 ; Wang, Xiu 2 ; Liao, Tongqing 1 ; Feng, Qingchun 2 ; Zhang, Dongyan 1 ;

作者机构： 1.Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China

2.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China

关键词： Vegetable seeds;Breeding;Seed vigor index;Detection system;Accuracy

期刊名称：INTERNATIONAL JOURNAL OF AGRICULTURE AND BIOLOGY （ 影响因子：0.822； 五年影响因子：0.906 ）

ISSN： 1560-8530

年卷期： 2016 年 18 卷 1 期

页码：

收录情况： SCI

摘要： Conventional detection ways of seed vigor cannot meet currently development demands of automation and efficient breeding because of its subjectivity, high -cost and complicated operations. In the study, a visual detection system of vegetable seed vigor was developed, to calculate the seed vigor index (SVI) through image feature extraction, the aim to explore new method for detecting automatically vegetable seed vigor. The detection system was composed of four platforms including image acquisition, image processing, germination index computing and seed vigor index calculating Vegetable seeds, cucumber, chilli, tomato, and aubergine were chosen to evaluate the capacity of detection system. Via experimental tests between manual and self -developed SVI system, the latter shown higher recognition accuracy through comparative analysis of four vegetable seeds, as well as deviations were respectively 4.32, 4.90, 5.95 and 3.22% and within acceptable limit. Thus, this work provides a reliable reference and research foundation for streamline detection of vegetable seed quality. 2016 Friends Science Publishers

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