| 袁道军,刘安国,原保忠,胡立勇,刘志雄,张方方.基于计算机视觉技术的油菜冠层营养信息监测[J].农业工程学报,2009,25(12):174-179.DOI: |
| 基于计算机视觉技术的油菜冠层营养信息监测 |
| 投稿时间：2007-03-12 修订日期：2009-08-11 |
| 中文关键词: 计算机视觉，图象处理，图像分割，油菜 |
| 基金项目:国家自然科学基金重点项目（30130120）资助 |
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| 摘要点击次数: 2127 |
| 全文下载次数: 960 |
| 中文摘要: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。 |
| Yuan Daojun,Liu Anguo,Yuan Baozhong,Hu Liyong,Liu Zhixiong,Zhang Fangfang.Nutrition information extraction of rape canopy based on computer-vision technology[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2009,25(12):174-179.DOI: |
| Nutrition information extraction of rape canopy based on computer-vision technology |
| Author Name | Affiliation | | Yuan Daojun | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China | | Liu Anguo | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China | | Yuan Baozhong | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China | | Hu Liyong | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China | | Liu Zhixiong | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China | | Zhang Fangfang | 1. College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; 2. School of Environment Technology, Zhejiang Forestry University, Hangzhou 311300, China |
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| Key words:computer vision, image processing, image segmentation, rape |
| 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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