| 基于双波段图像的玉米长势自动观测技术研究 |
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| 引用本文： | 胡树贞,张雪芬,何姣..基于双波段图像的玉米长势自动观测技术研究[J].气象与环境科学,2019,42(3):34-41. |
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| 作者姓名： | 胡树贞 张雪芬 何姣. |
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| 摘 要： | 基于双波段图像的玉米长势自动观测方法研究
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| 关 键 词： | 玉米 图像 自动观测 特征参数 |
Study on Auto Observation Method of Corn Growth Based on Dual Band Images |
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| Hu Shuzhen,Zhang Xuefen,He Jiao.Study on Auto Observation Method of Corn Growth Based on Dual Band Images[J].Meteorological and Environmental Sciences,2019,42(3):34-41. |
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| Authors: | Hu Shuzhen Zhang Xuefen He Jiao |
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| Abstract: | The whole growth process of crop was monitored by a standard digital color camera (RGB cam) and a modified near infrared (NIR) digital camera (NIR cam). According to the sensitivity of crop and soil in near infrared and visible light images, the crop coverage (Ccp) information was obtained by image processing algorithm and correlated with the observed crop growth characteristics.The results of the maize observation experiment conducted at the China Academy of Meteorological Sciences showed that the Ccp value calculated from the automatic observation maize image and the artificial observed plant height (NIR R2=0.9276, RGB R2=0.8491), the leaf area index (NIR R2=0.9535, RGB R2=0.8822), the dry matter weight (NIR R2=0.9497, RGB R2=0.7708) had high correlation, indicating that the image obtained by NIR cam was better for reflecting the growth characteristic of corn than that by RGB cam. |
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