Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information
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 d...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Chemistry |
| Online Access: | http://dx.doi.org/10.1155/2022/7590846 |
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| _version_ | 1832558364250341376 |
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| author | Zehua Fan Desheng Wang Nannan Zhang Baoping Zhou |
| author_facet | Zehua Fan Desheng Wang Nannan Zhang Baoping Zhou |
| author_sort | Zehua Fan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0d25619e8c034a04a26ab16a6dde7ee6 |
| institution | Kabale University |
| issn | 2090-9071 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Chemistry |
| spelling | doaj-art-0d25619e8c034a04a26ab16a6dde7ee62025-02-03T01:32:34ZengWileyJournal of Chemistry2090-90712022-01-01202210.1155/2022/7590846Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image InformationZehua Fan0Desheng Wang1Nannan Zhang2Baoping Zhou3College of Information EngineeringCollege of Plant SciencesCollege of Information EngineeringCollege of Information EngineeringTo 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.http://dx.doi.org/10.1155/2022/7590846 |
| spellingShingle | Zehua Fan Desheng Wang Nannan Zhang Baoping Zhou Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information Journal of Chemistry |
| title | Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information |
| title_full | Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information |
| title_fullStr | Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information |
| title_full_unstemmed | Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information |
| title_short | Monitoring of Nitrogen Transport in Pear Trees Based on Ground Hyperspectral Remote Sensing and Digital Image Information |
| title_sort | monitoring of nitrogen transport in pear trees based on ground hyperspectral remote sensing and digital image information |
| url | http://dx.doi.org/10.1155/2022/7590846 |
| work_keys_str_mv | AT zehuafan monitoringofnitrogentransportinpeartreesbasedongroundhyperspectralremotesensinganddigitalimageinformation AT deshengwang monitoringofnitrogentransportinpeartreesbasedongroundhyperspectralremotesensinganddigitalimageinformation AT nannanzhang monitoringofnitrogentransportinpeartreesbasedongroundhyperspectralremotesensinganddigitalimageinformation AT baopingzhou monitoringofnitrogentransportinpeartreesbasedongroundhyperspectralremotesensinganddigitalimageinformation |