Nondestructive and Rapid Estimation of Chlorophyll Content in Rye Leaf Using Digital Camera
Nondestructive and Rapid Estimation of Chlorophyll Content in Rye Leaf Using Digital Camera
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发表时间：
2004-03
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通讯作者：
H. Ku;Seunghwan Kim;Kwanso Choi;Hoyong Eom;Sang-eun Lee;S. Yun;Tae-Wan Kim
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作者：
H. Ku;Seunghwan Kim;Kwanso Choi;Hoyong Eom;Sang-eun Lee;S. Yun;Tae-Wan Kim
我们已经开发和测试了一种新的方法，非破坏性估计的叶绿素和氮含量在黑麦叶。结果表明，氮素、叶绿素含量和鲜重之间呈显著正相关。氮含量与叶绿素含量呈显著正相关，而R、G、R-B和G-B之间的相关系数均为负。我们发现由数码相机数据得到的R/（R-B）是估算叶片叶绿素含量的最佳判据。根据阴天的观测数据，计算出了R/（R-B）与叶绿素含量的回归曲线。决定系数（r²）范围为0.33 - 0.99。在本研究中，利用数码相机影像的颜色资料，以R、G、B值进行校正，可提高叶绿素含量估测的准确度。有人建议，为了实用的目的，使用便携式数码相机估计具有足够的精度的图像值可以应用于确定植物叶片中的叶绿素含量和氮素状况。
We have developed and tested a new method for nondestructive estimation of chlorophyll- and nitrogen-contents in rye leaf. It was found that the relationships among nitrogen, chlorophyll content and fresh weight were significantly positive correlated. Nitrogen and chlorophyll content were positively correlated whereas correlation coefficients among R, G, R-B and G-B on the basis of photo-numerical values were negative. We have found that R/(R-B) obtained from data of digital camera is the best criterion to estimate the chlorophyll content of leaves. The regression curves of the relation between R/(R-B) and chlorophyll content were also calculated from the data collected on cloudy days. The coefficients of determination (r²) were ranged from 0.33 to 0.99. In this study, the accuracy in estimating chlorophyll content from the color data of digital camera image could be improved by correcting with R, G, and B values. It is suggested that, for practical purposes, the image values estimated with sufficient accuracy using a portable digital camera can be applied for determining chlorophyll content and nitrogen status in plant leaves.