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中国农学通报

中国农学通报 ›› 2011, Vol. 27 ›› Issue (6): 464-468.

所属专题： 小麦

• 农业信息 • 上一篇    下一篇

基于麦穗特征的小麦品种BP分类器设计

毕昆 姜盼 唐崇伟 王成   

  • 收稿日期:2010-08-24 修回日期:2010-09-13 出版日期:2011-03-20 发布日期:2011-03-20
  • 基金资助:

    引进国际先进农业科学技术;引进国际先进农业科学技术;北京市农林科学院财政专项

The Design of Wheat Variety BP Classifier Based On Wheat Ear Feature

  • Received:2010-08-24 Revised:2010-09-13 Online:2011-03-20 Published:2011-03-20

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摘要：

基于数字图像分析，利用小麦穗部芒个数、芒长、穗长、RGB颜色的外部形态特征，对新疆的四个春小麦品种共40个样本进行了分类识别。建立了一个三层的BP神经网络分类器，平均准确识别率在85%以上，其中两个小麦品种的准确识别率达到了100%。

关键词: 清远麻鸡, 清远麻鸡, CAPN1基因, 单核苷酸多态性

Abstract:

Digital image analysis was adopted in the identification of 40 samples of Xinjiang spring wheat of four varieties according to the spike external morphological characteristics: awn number, awn long, ear length, RGB color features. A three-layer BP neural network classifier was established, the average accurate recognition rate was more than 85%, among which,there were two varieties’ accuracy rate reaching 100%.

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