| 注册
首页|期刊导航|农业工程学报|基于Seed Identification软件的棉籽机器视觉快速精选

基于Seed Identification软件的棉籽机器视觉快速精选

彭江南 谢宗铭 杨丽明 孙宝启 王建华 孙群

农业工程学报Issue(23):147-152,6.
农业工程学报Issue(23):147-152,6.DOI:10.3969/j.issn.1002-6819.2013.23.020

基于Seed Identification软件的棉籽机器视觉快速精选

Quickly selection for cotton seed based on Seed Identification Software

彭江南 1谢宗铭 2杨丽明 3孙宝启 1王建华 4孙群1

作者信息

  • 1. 中国农业大学农学与生物技术学院植物遗传育种学系/北京市作物遗传改良重点实验室,北京 100193
  • 2. 新疆农垦科学院分子农业技术育种中心,新疆石河子,832000
  • 3. 中国农业大学理学院,北京 100083
  • 4. 北京市农林科学院,北京 100097
  • 折叠

摘要

Abstract

In this paper, the correlation between the physical traits and seed vigor of delinted cotton seed (Lu Mian 28) was analyzed. The PNG format images of 400 cotton seeds were acquired with falatbed scanner, and the color features of cotton seed such as RGB, HSB, Lab, gray scale, and width, length and projected area were extracted automatically and quickly using seed identification software developed by our lab. Our seed identification software can identify the image and record related seed physical information, and then output all the information into an Excellfile automatically. The identifying results were achieved in 1 second, very quickly, with errors lower than 2%. The germination experiment was performed to get seedling fresh weight as seed vigor. Data analysis showed that R, H, S, B(HSB), b, width, length, and projected area had a relatively high coefficient of variation (more than 0.1) during the sample. Correlation analysis showed that R, S, B (HSB), b, width, length, and projected area were all significantly correlated with a seedling’s fresh weight. The correlation coefficients (R) were -0.128, -0.143, -0.121, -0.151, 0.283, 0.173, and 0.346 respectively. Cotton seeds of R﹤90, S≤18, B(HSB)≤36, b≤4, width>4mm, length>7.2 mm, seed projected area≥25 mm2 were selected respectively, and the seed germination rate was improved from 89% to 96.1%, 95.1%, 95.1%, 95.3%, 93.1%, 93.5% and 94.4%, and the selected rates of high quality seeds were 96.6%, 99.2%, 98.9%, 97.8%, 98.6%, 97%, and 94.7%, respectively. The verification test selected cotton seeds based on the physical traits and selected parameters described above, and the germination rate of seeds with R﹤90, S≤18, B(HSB)≤36, b≤4, width>4 mm, length>7.2 mm, seed projected area≥25 mm2 reached 95.1%, 95.1%, 94.8%, 94.8%, 94.4%, 94.4% and 94.8%, respectively. Therefore, we could deduce that this seed identification software could be applied to the selection of seed processing technology and the parameter determination of single delinted cotton seed according to seed vigor. The result has great importance for improving the seed processing level of China. In addition, our experiment confirmed that the seed projected area had a higher correlation with seed vigor compared to seed width and length. The reason may be that the projected area combined the information of seed width and seed length. But until now, there have been no related seed processing machines which could select seeds according to the seed projected area. This kind of seed machine is suggested to be developed as soon as possible.

关键词

种子/分选/棉花/种子物理指标/种子活力/Seed Identification软件

Key words

seed/separation/cotton/seed physical traits/seed vigor/Seed Identification software

分类

农业科技

引用本文复制引用

彭江南,谢宗铭,杨丽明,孙宝启,王建华,孙群..基于Seed Identification软件的棉籽机器视觉快速精选[J].农业工程学报,2013,(23):147-152,6.

基金项目

新疆生产建设兵团“十二五”项目(2012BB046);公益性行业(农业)科研专项项目 (农业)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

访问量0
|
下载量0
段落导航相关论文