ISSN 0253-2778

CN 34-1054/N

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Open AccessOpen Access JUSTC Original Paper

Corn-counting method based on photoelectric signal

  • 1.

    Depratment of Automation, University of Science and Technology of China, Hefei 230027, China

  • 2.

    Robot Sensor and Human-Machine Interaction Laboratory, HeFei Institute of Intelligent Machines, HeFei 230031, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2015.04.003
  • Received Date: 09 October 2014
  • Accepted Date: 20 January 2015
  • Rev Recd Date: 20 January 2015
  • Publish Date: 30 April 2015
    Abstract

  • Abstract

    1000-grain weight is the single crucial criterion for breeding high quality corn. In order to measure the 1000-grain weight, the problem of counting the corn grains must first be solved. Photodiode was used to obtain the image information of corn grains when free falling, and an identification algorithm was designed for calculating the number of corn grains. The method and the algorithm are capable of high accuracy and a high speed, and have very good reference value to the general grain counting.

    Abstract

    1000-grain weight is the single crucial criterion for breeding high quality corn. In order to measure the 1000-grain weight, the problem of counting the corn grains must first be solved. Photodiode was used to obtain the image information of corn grains when free falling, and an identification algorithm was designed for calculating the number of corn grains. The method and the algorithm are capable of high accuracy and a high speed, and have very good reference value to the general grain counting.
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    • References(7)
  • [1]
    贾鹏, 李永奎, 赵萍. 基于Matlab图像处理的谷物颗粒计数方法研究[J]. 农机化研究, 2009, (1): 152-153,156.
    [2]
    高学曾, 王忠孝, 许金芳, 等. 玉米穗粒数和千粒重与产量的关系[J]. 山东农业科学, 1989, (2): 4-7.
    [3]
    王琳. 玉米容重相关性分析[J]. 粮油仓储科技通讯, 2009, (3): 37-38.
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    王刚. 基于机器视觉的玉米千粒重快速检测仪的研制[D]. 吉林大学, 2012.
    [5]
    段丽英. 颗粒图象识别及计数在粮种品质测定中的应用[D].河北科技大学,2010.
    [6]
    刘萍, 冯桂莲. 图的深度优先搜索遍历算法分析及其应用[J]. 青海师范大学学报(自然科学版), 2007, (3): 41-44.
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    刘中华, 张颖超. 深度优先搜索的非递归算法[J]. 科技信息, 2010, (25): 160-161.)
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    [1]
    贾鹏, 李永奎, 赵萍. 基于Matlab图像处理的谷物颗粒计数方法研究[J]. 农机化研究, 2009, (1): 152-153,156.
    [2]
    高学曾, 王忠孝, 许金芳, 等. 玉米穗粒数和千粒重与产量的关系[J]. 山东农业科学, 1989, (2): 4-7.
    [3]
    王琳. 玉米容重相关性分析[J]. 粮油仓储科技通讯, 2009, (3): 37-38.
    [4]
    王刚. 基于机器视觉的玉米千粒重快速检测仪的研制[D]. 吉林大学, 2012.
    [5]
    段丽英. 颗粒图象识别及计数在粮种品质测定中的应用[D].河北科技大学,2010.
    [6]
    刘萍, 冯桂莲. 图的深度优先搜索遍历算法分析及其应用[J]. 青海师范大学学报(自然科学版), 2007, (3): 41-44.
    [7]
    刘中华, 张颖超. 深度优先搜索的非递归算法[J]. 科技信息, 2010, (25): 160-161.)
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