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基于多光谱图像的黄瓜叶片氮含量检测与诊断

[Nitrogen content testing and diagnosing of cucumber leaves based on multispectral imagines].

作者信息

Yang Wei, Nick Sigrimis, Li Min-zan

机构信息

Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Jan;30(1):210-3.

Abstract

Using CCD camera and special filters, the growth parameters of cucumber plants, the nitrogen content and the area of leaves, were investigated in an experimental greenhouse. In order to make nutrient stress to the plants, different nitrogen levels were prepared. The basic nitrogen content was 0.067 kg x L(-1) and four different levels of nitrogen contents were made to be 2, 1, 0.5, and 0.2 N, respectively. The genetic and water-segment methods were used to separate IR and R2 images from the background. It was found that the result of water-segment is better. It has clearer boundary, less noise and closer result to the original image. After the reflectance information of cucumber leaves was obtained, the vegetation indexes, RVI, NDVI and GNDVI, were calculated and then the correlation coefficients between each vegetation index and nitrogen content or leave area were analyzed. The result shows that there is an obvious linear correlation between NDVI and nitrogen content of leaves or leave area and the R2 are 0.8209 and 0.7017, respectively. The high correlations were also observed between GNDVI and nitrogen content of leaves or leave area, and the R2 are 0.7625 and 0.6762, respectively. The reason is that the reflectance of IR is mainly affected by reflectivity and the canopy structure of cucumber leaves. As biomass and area of leaves increase with the nitrogen content, the reflectivity of leaves becomes stronger. And the gap among cells of high nitrogen content leaves is large. Cell wall has more water, which has a strong effect on the reflectivity of NIR At visible wavelength, the reflectance of cucumber leaves decreases as nitrogen content increases since the chlorophyll content increases as nitrogen content increases. The trend of correlation between RVI and nitrogen content disagreed with that of the correlation between RVI and leave area. There is an obvious linear correlation between RVI and leave area, and the R2 is 0.8577. However, the correlations between RVI and nitrogen content exhibit a nonlinear relationship, and R2 is only 0.5988. It is because as cucumbers grow older, the reflectance of canopy increases at visible wavelength but decreases at near infrared wavelength. The experimental result proves that CCD camera and special filters can be used as a good method for diagnosing nitrogen content of cucumber plants.

摘要

利用电荷耦合器件(CCD)相机和特殊滤光片,在实验温室中对黄瓜植株的生长参数、氮含量和叶片面积进行了研究。为了使植株受到养分胁迫,制备了不同的氮水平。基本氮含量为0.067 kg·L⁻¹,四个不同的氮含量水平分别设定为2、1、0.5和0.2 N。采用遗传算法和水分割法从背景中分离红外(IR)和R2图像。结果发现,水分割法的效果更好。其边界更清晰,噪声更少,结果与原始图像更接近。获取黄瓜叶片的反射率信息后,计算植被指数RVI、NDVI和GNDVI,然后分析各植被指数与氮含量或叶面积之间的相关系数。结果表明,NDVI与叶片氮含量或叶面积之间存在明显的线性相关,R²分别为0.8209和0.7017。GNDVI与叶片氮含量或叶面积之间也存在高度相关性,R²分别为0.7625和0.6762。原因是红外反射率主要受黄瓜叶片反射率和冠层结构的影响。随着生物量和叶面积随氮含量增加,叶片反射率变强。高氮含量叶片细胞间的间隙较大。细胞壁含有更多水分,这对近红外反射率有很强的影响。在可见光波长下,由于叶绿素含量随氮含量增加而增加,黄瓜叶片的反射率随氮含量增加而降低。RVI与氮含量之间的相关趋势与RVI与叶面积之间的相关趋势不同。RVI与叶面积之间存在明显的线性相关,R²为0.8577。然而,RVI与氮含量之间的相关性呈现非线性关系,R²仅为0.5988。这是因为随着黄瓜植株变老,冠层在可见光波长下的反射率增加,但在近红外波长下降低。实验结果证明,CCD相机和特殊滤光片可作为诊断黄瓜植株氮含量的良好方法。

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