RETRACTED: Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information (Retracted Article)

被引：3

作者：

Fan, Zehua ^{[1
]}

Wang, Desheng ^{[2
]}

Zhang, Nannan ^{[1
]}

Zhou, Baoping ^{[1
]}

机构：

[1] Tarim Univ, Coll Informat Engn, Alar 843300, Xinjiang, Peoples R China

[2] Tarim Univ, Coll Plant Sci, Alar 843300, Xinjiang, Peoples R China

来源：

JOURNAL OF CHEMISTRY | 2022年 / 2022卷

关键词：

D O I：

10.1155/2022/7590846

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

To study nitrogen transport monitoring in pear trees based on ground-based hyperspectral remote sensing and digital image information. First, based on ground hyperspectral remote sensing and digital image information, combined with the characteristics of visible and near-infrared spectral data and digital image data, a beet nitrogen nutrition diagnosis model based on visible and near-infrared spectral and digital image information was established. The results showed that under water and nitrogen management conditions, the marked nitrogen use efficiency at soil profiles 15, 45, and 75 cm was 28.2%, 22.3%, and 16.3%, respectively. From the analysis of soil and plant nitrogen measured in this experiment, it can be seen that nitrogen nitrate fertilizer should be properly applied to pear trees in the future.

引用

页数：7

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