Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review
Nitrogen, as one of the important elements affecting the growth and development of fruit trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing of the leaves, poor tree growth, and decreased yield under nitrogen-deficient conditions. In order to minimize losses a...
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Frontiers Media S.A.
2024-11-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1489151/full |
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| author | Ruiqian Xi Yanxia Gu Xiaoqian Zhang Zhenhui Ren |
| author_facet | Ruiqian Xi Yanxia Gu Xiaoqian Zhang Zhenhui Ren |
| author_sort | Ruiqian Xi |
| collection | DOAJ |
| description | Nitrogen, as one of the important elements affecting the growth and development of fruit trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing of the leaves, poor tree growth, and decreased yield under nitrogen-deficient conditions. In order to minimize losses and maximize fruit yield, there is often an occurrence of excessive fertilization, soil structure degradation, and water pollution. Therefore, accurate and real-time monitoring of nitrogen content in fruit trees has become the fundamental prerequisite for precision management of orchards. Furthermore, precision orchard management is crucial for enhancing fruit quality by maintaining the optimal growth conditions necessary for trees. Moreover, it plays a vital role in safeguarding the ecological environment by mitigating the overuse of fertilizers and pesticides. With the continuous development and application of spectral remote sensing technology in agricultural monitoring and land management, this technology can provide an effective method for monitoring nitrogen content. Based on a review of relevant literature, this paper summarizes a research framework for monitoring and inversion of nitrogen content in fruit trees, which provides help for further research. Firstly, based on different remote sensing platforms, the application was discussed, on spectral remote sensing technology in the acquisition of nitrogen content in fruit trees. Secondly, the index parameters that can reflect the nitrogen content of fruit trees are summarized, which provides practical guidance for remote sensing monitoring. Additionally, the regression algorithms and application situations based on spectral data for nitrogen content were introduced. In conclusion, in response to the current issues and technological limitations, future research should focus on studying the nitrogen content characteristics of fruit trees during different phenological periods, integrating multi-type data information, and thereby improving the universality of the nitrogen content inversion model for fruit trees. |
| format | Article |
| id | doaj-art-a52a80de923f462cb5afaf413f9e690c |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Plant Science |
| spelling | doaj-art-a52a80de923f462cb5afaf413f9e690c2024-12-16T12:01:22ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2024-11-011510.3389/fpls.2024.14891511489151Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep reviewRuiqian Xi0Yanxia Gu1Xiaoqian Zhang2Zhenhui Ren3College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding, ChinaCollege of Science, Hebei Agricultural University, Baoding, ChinaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding, ChinaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding, ChinaNitrogen, as one of the important elements affecting the growth and development of fruit trees, leads to slowed protein synthesis and reduced photosynthesis, resulting in yellowing of the leaves, poor tree growth, and decreased yield under nitrogen-deficient conditions. In order to minimize losses and maximize fruit yield, there is often an occurrence of excessive fertilization, soil structure degradation, and water pollution. Therefore, accurate and real-time monitoring of nitrogen content in fruit trees has become the fundamental prerequisite for precision management of orchards. Furthermore, precision orchard management is crucial for enhancing fruit quality by maintaining the optimal growth conditions necessary for trees. Moreover, it plays a vital role in safeguarding the ecological environment by mitigating the overuse of fertilizers and pesticides. With the continuous development and application of spectral remote sensing technology in agricultural monitoring and land management, this technology can provide an effective method for monitoring nitrogen content. Based on a review of relevant literature, this paper summarizes a research framework for monitoring and inversion of nitrogen content in fruit trees, which provides help for further research. Firstly, based on different remote sensing platforms, the application was discussed, on spectral remote sensing technology in the acquisition of nitrogen content in fruit trees. Secondly, the index parameters that can reflect the nitrogen content of fruit trees are summarized, which provides practical guidance for remote sensing monitoring. Additionally, the regression algorithms and application situations based on spectral data for nitrogen content were introduced. In conclusion, in response to the current issues and technological limitations, future research should focus on studying the nitrogen content characteristics of fruit trees during different phenological periods, integrating multi-type data information, and thereby improving the universality of the nitrogen content inversion model for fruit trees.https://www.frontiersin.org/articles/10.3389/fpls.2024.1489151/fullreal-time monitoringphenological periodprecision managementremote sensing technologynitrogen fertilizationfruit trees |
| spellingShingle | Ruiqian Xi Yanxia Gu Xiaoqian Zhang Zhenhui Ren Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review Frontiers in Plant Science real-time monitoring phenological period precision management remote sensing technology nitrogen fertilization fruit trees |
| title | Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review |
| title_full | Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review |
| title_fullStr | Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review |
| title_full_unstemmed | Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review |
| title_short | Nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing: a deep review |
| title_sort | nitrogen monitoring and inversion algorithms of fruit trees based on spectral remote sensing a deep review |
| topic | real-time monitoring phenological period precision management remote sensing technology nitrogen fertilization fruit trees |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1489151/full |
| work_keys_str_mv | AT ruiqianxi nitrogenmonitoringandinversionalgorithmsoffruittreesbasedonspectralremotesensingadeepreview AT yanxiagu nitrogenmonitoringandinversionalgorithmsoffruittreesbasedonspectralremotesensingadeepreview AT xiaoqianzhang nitrogenmonitoringandinversionalgorithmsoffruittreesbasedonspectralremotesensingadeepreview AT zhenhuiren nitrogenmonitoringandinversionalgorithmsoffruittreesbasedonspectralremotesensingadeepreview |