基于计算机视觉技术的油菜冠层营养信息监测

    Nutrition information extraction of rape canopy based on computer-vision technology

    • 摘要: 为了探讨利用计算机视觉技术监测油菜长相长势的可行性,在大田自然条件下,用数码相机构建了计算机视觉系统,获取、分割图像,用逐步回归的方法建立了用颜色值监测叶绿素含量、全氮含量、碳氮比值的最优模型,模型具有较好的预测性。试验结果表明:在大田自然光照条件下,用数码相机采集油菜图像,监测冠层叶绿素含量、全氮含量、碳氮比等生理指标是可行的。

       

      Abstract: In order to study the possibility of monitoring the rape canopy’ nutrition information based on computer-vision technology in the outdoor ray, the computer-vision system was designed, and the images of the rape canopy were got and segmented. Through the statistical analysis of stepwise regression, the perfect models of chlorophyll content, total-N content, and C/N ratio were found and have a good predictive ability. The result showed that it is possible to estimate the physiological indexes of rape canopy, including chlorophyll content, total-N content, and C/N ratio, with digital camera under the conditions of field natural light.

       

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