CAJ | 학술논문

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.
위료탐토이용계산궤시각기술감측유채장상장세적가행성,재대전자연조건하,용수마상궤구건료계산궤시각계통,획취、분할도상,용축보회귀적방법건립료용안색치감측협록소함량、전담함량、탄담비치적최우모형,모형구유교호적예측성.시험결과표명:재대전자연광조조건하,용수마상궤채집유채도상,감측관층협록소함량、전담함량、탄담비등생리지표시가행적.
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.