Cargando…
Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis
An instrument developed to monitor and diagnose crop growth can quickly and non-destructively obtain crop growth information, which is helpful for crop field production and management. Focusing on the problems with existing two-band instruments used for crop growth monitoring and diagnosis, such as...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285128/ https://www.ncbi.nlm.nih.gov/pubmed/32443796 http://dx.doi.org/10.3390/s20102894 |
_version_ | 1783544627642499072 |
---|---|
author | Li, Huaimin Lin, Weipan Pang, Fangrong Jiang, Xiaoping Cao, Weixing Zhu, Yan Ni, Jun |
author_facet | Li, Huaimin Lin, Weipan Pang, Fangrong Jiang, Xiaoping Cao, Weixing Zhu, Yan Ni, Jun |
author_sort | Li, Huaimin |
collection | PubMed |
description | An instrument developed to monitor and diagnose crop growth can quickly and non-destructively obtain crop growth information, which is helpful for crop field production and management. Focusing on the problems with existing two-band instruments used for crop growth monitoring and diagnosis, such as insufficient information available on crop growth and low accuracy of some growth indices retrieval, our research team developed a portable three-band instrument for crop-growth monitoring and diagnosis (CGMD) that obtains a larger amount of information. Based on CGMD, this paper carried out studies on monitoring wheat growth indices. According to the acquired three-band reflectance spectra, the combined indices were constructed by combining different bands, two-band vegetation indices (NDVI, RVI, and DVI), and three-band vegetation indices (TVI-1 and TVI-2). The fitting results of the vegetation indices obtained by CGMD and the commercial instrument FieldSpec HandHeld2 was high and the new instrument could be used for monitoring the canopy vegetation indices. By fitting each vegetation index to the growth index, the results showed that the optimal vegetation indices corresponding to leaf area index (LAI), leaf dry weight (LDW), leaf nitrogen content (LNC), and leaf nitrogen accumulation (LNA) were TVI-2, TVI-1, NDVI (R(730), R(815)), and NDVI (R(730), R(815)), respectively. R(2) values corresponding to LAI, LDW, LNC and LNA were 0.64, 0.84, 0.60, and 0.82, respectively, and their relative root mean square error (RRMSE) values were 0.29, 0.26, 0.17, and 0.30, respectively. The addition of the red spectral band to CGMD effectively improved the monitoring results of wheat LAI and LDW. Focusing the problem of vegetation index saturation, this paper proposed a method to construct the wheat-growth-index spectral monitoring models that were defined according to the growth periods. It improved the prediction accuracy of LAI, LDW, and LNA, with R(2) values of 0.79, 0.85, and 0.85, respectively, and the RRMSE values of these growth indices were 0.22, 0.23, and 0.28, respectively. The method proposed here could be used for the guidance of wheat field cultivation. |
format | Online Article Text |
id | pubmed-7285128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72851282020-06-15 Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis Li, Huaimin Lin, Weipan Pang, Fangrong Jiang, Xiaoping Cao, Weixing Zhu, Yan Ni, Jun Sensors (Basel) Article An instrument developed to monitor and diagnose crop growth can quickly and non-destructively obtain crop growth information, which is helpful for crop field production and management. Focusing on the problems with existing two-band instruments used for crop growth monitoring and diagnosis, such as insufficient information available on crop growth and low accuracy of some growth indices retrieval, our research team developed a portable three-band instrument for crop-growth monitoring and diagnosis (CGMD) that obtains a larger amount of information. Based on CGMD, this paper carried out studies on monitoring wheat growth indices. According to the acquired three-band reflectance spectra, the combined indices were constructed by combining different bands, two-band vegetation indices (NDVI, RVI, and DVI), and three-band vegetation indices (TVI-1 and TVI-2). The fitting results of the vegetation indices obtained by CGMD and the commercial instrument FieldSpec HandHeld2 was high and the new instrument could be used for monitoring the canopy vegetation indices. By fitting each vegetation index to the growth index, the results showed that the optimal vegetation indices corresponding to leaf area index (LAI), leaf dry weight (LDW), leaf nitrogen content (LNC), and leaf nitrogen accumulation (LNA) were TVI-2, TVI-1, NDVI (R(730), R(815)), and NDVI (R(730), R(815)), respectively. R(2) values corresponding to LAI, LDW, LNC and LNA were 0.64, 0.84, 0.60, and 0.82, respectively, and their relative root mean square error (RRMSE) values were 0.29, 0.26, 0.17, and 0.30, respectively. The addition of the red spectral band to CGMD effectively improved the monitoring results of wheat LAI and LDW. Focusing the problem of vegetation index saturation, this paper proposed a method to construct the wheat-growth-index spectral monitoring models that were defined according to the growth periods. It improved the prediction accuracy of LAI, LDW, and LNA, with R(2) values of 0.79, 0.85, and 0.85, respectively, and the RRMSE values of these growth indices were 0.22, 0.23, and 0.28, respectively. The method proposed here could be used for the guidance of wheat field cultivation. MDPI 2020-05-20 /pmc/articles/PMC7285128/ /pubmed/32443796 http://dx.doi.org/10.3390/s20102894 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Huaimin Lin, Weipan Pang, Fangrong Jiang, Xiaoping Cao, Weixing Zhu, Yan Ni, Jun Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title | Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title_full | Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title_fullStr | Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title_full_unstemmed | Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title_short | Monitoring Wheat Growth Using a Portable Three-Band Instrument for Crop Growth Monitoring and Diagnosis |
title_sort | monitoring wheat growth using a portable three-band instrument for crop growth monitoring and diagnosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285128/ https://www.ncbi.nlm.nih.gov/pubmed/32443796 http://dx.doi.org/10.3390/s20102894 |
work_keys_str_mv | AT lihuaimin monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT linweipan monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT pangfangrong monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT jiangxiaoping monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT caoweixing monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT zhuyan monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis AT nijun monitoringwheatgrowthusingaportablethreebandinstrumentforcropgrowthmonitoringanddiagnosis |