Estimation of corn chlorophyll content using different red edge position algorithms
This research was based on the combined planting model of corn-soybean strip intercropping and the corns under different nitrogen levels were used as the test materials. The reflectance spectrum and chlorophyll content of leaves and canopies of corns were measured at the jointing stage, tasseling st...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Zhejiang University Press
2021-08-01
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| Series: | 浙江大学学报. 农业与生命科学版 |
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| Online Access: | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2020.10.201 |
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| author | ZHANG Jiawei WANG Zhonglin TAN Xianming WANG Beibei YANG Wenyu YANG Feng |
| author_facet | ZHANG Jiawei WANG Zhonglin TAN Xianming WANG Beibei YANG Wenyu YANG Feng |
| author_sort | ZHANG Jiawei |
| collection | DOAJ |
| description | This research was based on the combined planting model of corn-soybean strip intercropping and the corns under different nitrogen levels were used as the test materials. The reflectance spectrum and chlorophyll content of leaves and canopies of corns were measured at the jointing stage, tasseling stage and filling stage. Red edge position (REP) was extracted by continuous wavelet transform (CWT) and other algorithms [maximum first derivative method (FD), four-point interpolation method (FPI) and linear extrapolation method (LEM)]. The quantitative relationships between REP and chlorophyll contents were systematically analyzed to compare the accuracy and stability of the REP extracted by each red edge algorithm on the two scales of leaf and canopy. The results showed that, based on the REP-CWT, the estimation accuracy of chlorophyll content was higher on leaf and canopy scales, and the stability was the strongest, which indicated that REP-CWT was feasible in extracting the REP of corn reflectance spectrum. The quantitative estimation models of corn leaf chlorophyll content and canopy chlorophyll content base on REP-LEM and REP-FPI, respectively, were the best. This study provides a new method for extracting the REP of corn reflectance spectrum, and then constructs the best quantitative estimation model of corn chlorophyll content on different observation scales (leaf and canopy), and offers an effective way to monitor the nitrogen nutrition status of corn. |
| format | Article |
| id | doaj-art-037ca8d122974902b776a0ca03fa28dd |
| institution | DOAJ |
| issn | 1008-9209 2097-5155 |
| language | English |
| publishDate | 2021-08-01 |
| publisher | Zhejiang University Press |
| record_format | Article |
| series | 浙江大学学报. 农业与生命科学版 |
| spelling | doaj-art-037ca8d122974902b776a0ca03fa28dd2025-08-20T02:47:27ZengZhejiang University Press浙江大学学报. 农业与生命科学版1008-92092097-51552021-08-014746447210.3785/j.issn.1008-9209.2020.10.20110089209Estimation of corn chlorophyll content using different red edge position algorithmsZHANG JiaweiWANG ZhonglinTAN XianmingWANG BeibeiYANG WenyuYANG FengThis research was based on the combined planting model of corn-soybean strip intercropping and the corns under different nitrogen levels were used as the test materials. The reflectance spectrum and chlorophyll content of leaves and canopies of corns were measured at the jointing stage, tasseling stage and filling stage. Red edge position (REP) was extracted by continuous wavelet transform (CWT) and other algorithms [maximum first derivative method (FD), four-point interpolation method (FPI) and linear extrapolation method (LEM)]. The quantitative relationships between REP and chlorophyll contents were systematically analyzed to compare the accuracy and stability of the REP extracted by each red edge algorithm on the two scales of leaf and canopy. The results showed that, based on the REP-CWT, the estimation accuracy of chlorophyll content was higher on leaf and canopy scales, and the stability was the strongest, which indicated that REP-CWT was feasible in extracting the REP of corn reflectance spectrum. The quantitative estimation models of corn leaf chlorophyll content and canopy chlorophyll content base on REP-LEM and REP-FPI, respectively, were the best. This study provides a new method for extracting the REP of corn reflectance spectrum, and then constructs the best quantitative estimation model of corn chlorophyll content on different observation scales (leaf and canopy), and offers an effective way to monitor the nitrogen nutrition status of corn.https://www.academax.com/doi/10.3785/j.issn.1008-9209.2020.10.201cornred edge positioncontinuous wavelet transformchlorophyllmonitoring |
| spellingShingle | ZHANG Jiawei WANG Zhonglin TAN Xianming WANG Beibei YANG Wenyu YANG Feng Estimation of corn chlorophyll content using different red edge position algorithms 浙江大学学报. 农业与生命科学版 corn red edge position continuous wavelet transform chlorophyll monitoring |
| title | Estimation of corn chlorophyll content using different red edge position algorithms |
| title_full | Estimation of corn chlorophyll content using different red edge position algorithms |
| title_fullStr | Estimation of corn chlorophyll content using different red edge position algorithms |
| title_full_unstemmed | Estimation of corn chlorophyll content using different red edge position algorithms |
| title_short | Estimation of corn chlorophyll content using different red edge position algorithms |
| title_sort | estimation of corn chlorophyll content using different red edge position algorithms |
| topic | corn red edge position continuous wavelet transform chlorophyll monitoring |
| url | https://www.academax.com/doi/10.3785/j.issn.1008-9209.2020.10.201 |
| work_keys_str_mv | AT zhangjiawei estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms AT wangzhonglin estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms AT tanxianming estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms AT wangbeibei estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms AT yangwenyu estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms AT yangfeng estimationofcornchlorophyllcontentusingdifferentrededgepositionalgorithms |