| 基于麦穗特征的小麦品种BP分类器设计 |
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| 引用本文： | 毕昆,姜盼,唐崇伟,王成.基于麦穗特征的小麦品种BP分类器设计[J].中国农学通报,2011,27(6):464-468. |
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| 作者姓名： | 毕昆 姜盼 唐崇伟 王成 |
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| 作者单位： | 北京农业信息技术研究中心,北京,100097 |
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| 基金项目： | 农业部"引进国际先进农业科学技术"项目，农业部"引进田际先进农业科学技术"项目，北京市财政专项 |
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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%。
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| 关 键 词： | 清远麻鸡 清远麻鸡 CAPN1基因 单核苷酸多态性 |
| 收稿时间： | 2010/8/24 0:00:00 |
| 修稿时间： | 2010/9/13 0:00:00 |
The Design of Wheat Variety BP Classifier Based On Wheat Ear Feature |
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| Bi Kun,Jiang Pan,Tang Chongwei,Huang Feifei,Wang Cheng.The Design of Wheat Variety BP Classifier Based On Wheat Ear Feature[J].Chinese Agricultural Science Bulletin,2011,27(6):464-468. |
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| Authors: | Bi Kun Jiang Pan Tang Chongwei Huang Feifei Wang Cheng |
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| Institution: | Bi Kun,Jiang Pan,Tang Chongwei,Huang Feifei,Wang Cheng(Beijing Research Center for Information Technology In Agriculture,Beijing 100097) |
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| Abstract: | Morphological parameters of wheat spike are direct reflection of the wheat growth status and the most concerned parameters of the breeding experts and testing experts.The development of wheat variety rapid identification technology is a necessary measurement to reduce workload and increase efficiency.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,and... |
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| Keywords: | wheat recognition BP neural network color features awn number ear length |
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