Design and Experiment of a Sorting System for Haploid Maize Kernel

文献类型： 外文期刊

第一作者： Song, Peng

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

作者机构：

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.

分类号：

  • 相关文献

[1]STUDY ON CROP IMAGE FEATURE EXTRACTION OF VEHICLE-BASED ESTIMATION SYSTEM ON LARGE SCALE CROP ACREAGE. Wang, Su-Xia,Song, Zheng-He,Zhu, Zhong-Xiang,Mao, En-Rong,Yang, Bang-Jie,Zhang, Rui. 2007

[2]Research on tomato seed vigor based on X-ray digital image. Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun,Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun,Zhao Xueguan,Gao Yuanyuan,Wang Xiu,Li Cuiling,Wang, Songlin,Feng Qingcun. 2016

[3]Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review. Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang,Fan, Shuxiang,Wu, Jitao,Zhang, Baohua,Zhao, Chunjiang,Liu, Chengliang. 2014

[4]MOBILE SMART DEVICE-BASED VEGETABLE DISEASE AND INSECT PEST RECOGNITION METHOD. Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng,Wang, Kaiyi,Zhang, Shuifa,Wang, Zhibin,Liu, Zhongqiang,Yang, Feng. 2013

[5]Selective Cultivation and Rapid Detection of Staphylococcus aureus by Computer Vision. Wang, Yong,Yin, Yongguang,Zhang, Chaonan,Wang, Yong. 2014

[6]Design and Implementation of an Automatic Grading System of Diced Potatoes Based on Machine Vision. Wang, Chaopeng,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping,Wang, Chaopeng,Huang, Wenqian,Zhang, Baohua,Yang, Jingjing,Qian, Man,Fan, Shuxiang,Chen, Liping. 2016

[7]Outdoor color rating of sweet cherries using computer vision. Wang, Qi,Wang, Hui,Xie, Lijuan,Zhang, Qin,Wang, Hui,Xie, Lijuan.

[8]A Novel Approach for Retrieving Tree Leaf Area from Ground-Based LiDAR. Yun, Ting,An, Feng,Yun, Ting,Xue, Lianfeng,Li, Weizheng,Sun, Yuan,Cao, Lin. 2016

[9]Corner points localization in electronic topographic maps with deep neural networks. Dong, Luan,Chang, Hongxia,Yan, Qin,Dong, Luan,Zheng, Fengling,Zheng, Fengling. 2018

[10]Rapid methods for detecting acrylamide in thermally processed foods: A review. Hu, Qinqin,Fu, Yingchun,Li, Yanbin,Xu, Xiahong,Li, Yanbin.

[11]Computer vision detection of defective apples using automatic lightness correction and weighted RVM classifier. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Zhang, Baohua,Huang, Wenqian,Li, Jiangbo,Zhao, Chunjiang.

[12]Computer vision recognition of stem and calyx in apples using near-infrared linear-array structured light and 3D reconstruction. Zhang, Baohua,Gong, Liang,Zhao, Chunjiang,Liu, Chengliang,Huang, Danfeng,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang,Huang, Wenqian,Wang, Chaopeng,Zhao, Chunjiang.

作者其他论文 更多>>

微信小程序