基于图像处理的小麦种植密度估算研究
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  • 英文篇名:Estimation of wheat planting density based on image processing technology
  • 作者:武威 ; 刘涛 ; 孙成明 ; 陈雯 ; 陈晨 ; 王瑞
  • 英文作者:WU Wei;LIU Tao;SUN Chengming;CHEN Wen;CHEN Chen;WANG Rui;Key Lab of Crop Gen and Physio of Jiangsu Prov/Co-Inno Cen for Mod Prod Tech of Grain Crops,Yangzhou Univ;
  • 关键词:小麦 ; 种植密度 ; 图像处理 ; 颜色特征 ; 叶片盖度 ; 估算模型
  • 英文关键词:wheat;;planting density;;image processing;;color feature;;leaf cover degree;;estimation model
  • 中文刊名:JSNX
  • 英文刊名:Journal of Yangzhou University(Agricultural and Life Science Edition)
  • 机构:扬州大学江苏省作物遗传生理重点实验室/粮食作物现代产业技术协同创新中心;
  • 出版日期:2017-04-17 15:05
  • 出版单位:扬州大学学报(农业与生命科学版)
  • 年:2017
  • 期:v.38;No.149
  • 基金:江苏省农业三新工程项目(SXGC[2015]330);; 江苏高校优势学科建设工程项目(2014-12)
  • 语种:中文;
  • 页:JSNX201701017
  • 页数:5
  • CN:01
  • ISSN:32-1648/S
  • 分类号:93-97
摘要
利用图像处理技术分析小麦图像的颜色特征,并提出叶片盖度(LCD)参数;通过小麦种植密度与不同参数之间的相关性分析,建立基于不同参数的预测模型。结果表明:以绿光标准化值(NDIG)和LCD结合的多元逐步回归模型优于其他单变量模型以及混合模型,可以作为小麦种植密度的定量估算模型。使用实测数据对模型进行验证,R~2为0.896 1,达到极显著水平。结果说明该方法可行,可为小麦生长前期种植密度的快速、精确检测提供依据。
        The image color feature of wheat was analyzed by using image processing and the leaf cover degree(LCD)parameter was proposed.The prediction model was established based on different parameters through the correlation analysis between the wheat planting density and different parameters.The results showed that the multiple stepwise regression model with green standardized values(NDIG)and LCD was superior to other single model and hybrid model,which could be used as the quantitative estimation model of wheat planting density.Using the measured data to verify the model,R~2 was 0.896 1,reached extremely significant level.The method is feasible,and provides the basis for fast and accurate estimation of the early stage of the wheat planting density.
引文
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