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。
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.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2009年第12期174-179,共6页
Transactions of the Chinese Society of Agricultural Engineering
基金
国家自然科学基金重点项目(30130120)资助
关键词
计算机视觉
图象处理
图像分割
油菜
computer vision
image processing
image segmentation
rape
