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Design and Experiment of a Sorting System for Haploid Maize Kernel

文献类型： 外文期刊

作者： Song, Peng 1 ; Zhang, Han 2 ; Wang, Cheng 1 ; Luo, Bin 1 ; Zhang, Jun Xiong 3 ;

作者机构： 1.Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China

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

3.China Agr Univ, Beijing, Peoples R China

关键词： Seed sorting;computer vision;haploid identification;color feature

期刊名称：INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE （ 影响因子：1.373； 五年影响因子：1.346 ）

ISSN： 0218-0014

年卷期： 2018 年 32 卷 3 期

页码：

收录情况： SCI

摘要： This study designed an automatic sorting system that can separate haploid maize kernels from cross-breeding kernels that are marked with the Navajo label. This system comprises the seed feeding, image acquisition, sorting and system control units. The seed feeding unit distributes the maize kernels over the synchronous belt. The image acquisition unit acquires the images of maize kernels, as well as distinguishes the heterozygous from haploid kernels based on the color feature of the endosperm. The sorting unit contains mechanical arms and solenoid valves that can select the heterozygote kernels using air suction. Lastly, the system control unit is compatible with other units. Four maize varieties, namely, 958-CAU, 1050-37, LC0990-LN75 and LC0995-CAU, were provided by China Agricultural University, National Maize Improvement Center. These varieties were selected for the experiments conducted. The successful unloading rates of the system are 85.56%, 91.39%, 87.22% and 86.39%, respectively. (R+G) x vertical bar G-B vertical bar/B was employed to distinguish the pigmented endosperm area. The accuracy rates of identification for the heterozygous kernels are 92.91%, 95.04%, 88.82% and 92.65% for 958-CAU, 1050-37, LC0990-LN75 and LC0995-CAU, respectively.

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