Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient

Since the application of hyperspectral technology to agriculture, many scientists have been conducting studies to apply the technology in crop diagnosis. However, due to the properties of optical devices, the reflectances obtained according to the image acquisition conditions are different. Neverthe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jae Gyeong Jung, Ki Eun Song, Sun Hee Hong, Sang In Shim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hyperspectral imaging vegetation index <i>Triticum aestivum</i> nitrogen gradient Botany QK1-989
Acceso en línea:	https://doaj.org/article/420aa53c95a24a3ab16e2d2e5917f20e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:420aa53c95a24a3ab16e2d2e5917f20e
record_format	dspace
spelling	oai:doaj.org-article:420aa53c95a24a3ab16e2d2e5917f20e2021-11-25T18:44:52ZHyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient10.3390/plants101122912223-7747https://doaj.org/article/420aa53c95a24a3ab16e2d2e5917f20e2021-10-01T00:00:00Zhttps://www.mdpi.com/2223-7747/10/11/2291https://doaj.org/toc/2223-7747Since the application of hyperspectral technology to agriculture, many scientists have been conducting studies to apply the technology in crop diagnosis. However, due to the properties of optical devices, the reflectances obtained according to the image acquisition conditions are different. Nevertheless, there is no optimized method for minimizing such technical errors in applying hyperspectral imaging. Therefore, this study was conducted to find the appropriate image acquisition conditions that reflect the growth status of wheat grown under different nitrogen fertilization regimes. The experiment plots were comprised of six plots with various N application levels of 145.6 kg N ha<sup>−1</sup> (N1), 109.2 kg N ha<sup>−1</sup> (N2), 91.0 kg N ha<sup>−1</sup> (N3), 72.8 kg N ha<sup>−1</sup> (N4), 54.6 kg N ha<sup>−1</sup> (N5), and 36.4 kg N ha<sup>−1</sup> (N6). Hyperspectral image acquisitions were performed at different shooting angles of 105° and 125° from the surface, and spike, flag leaf, and the second uppermost leaf were divided into five parts from apex to base when analyzing the images. The growth analysis conducted at heading showed that the N6 was 85.6% in the plant height, 44.1% in LAI, and 64.9% in SPAD as compared to N1. The nitrogen content in the leaf decreased by 55.2% compared to N1 and the quantity was 44.9% in N6 compared to N1. Based on the vegetation indices obtained from hyperspectral reflectances at the heading stage, the spike was not suitable for analysis. In the case of the flag leaf and the 2nd uppermost leaf, the vegetation indices from spectral data taken at 105 degrees were more appropriate for acquiring imaging data by clearly dividing the effects of fertilization level. The results of the regional variation in a leaf showed that the region of interest (ROI), which is close to the apex of the flag leaf and the base of the second uppermost leaf, has a high coefficient of determination between the fertilization levels and the vegetation indices, which effectively reflected the status of wheat.Jae Gyeong JungKi Eun SongSun Hee HongSang In ShimMDPI AGarticlehyperspectral imagingvegetation index<i>Triticum aestivum</i>nitrogen gradientBotanyQK1-989ENPlants, Vol 10, Iss 2291, p 2291 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hyperspectral imaging vegetation index <i>Triticum aestivum</i> nitrogen gradient Botany QK1-989
spellingShingle	hyperspectral imaging vegetation index <i>Triticum aestivum</i> nitrogen gradient Botany QK1-989 Jae Gyeong Jung Ki Eun Song Sun Hee Hong Sang In Shim Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
description	Since the application of hyperspectral technology to agriculture, many scientists have been conducting studies to apply the technology in crop diagnosis. However, due to the properties of optical devices, the reflectances obtained according to the image acquisition conditions are different. Nevertheless, there is no optimized method for minimizing such technical errors in applying hyperspectral imaging. Therefore, this study was conducted to find the appropriate image acquisition conditions that reflect the growth status of wheat grown under different nitrogen fertilization regimes. The experiment plots were comprised of six plots with various N application levels of 145.6 kg N ha<sup>−1</sup> (N1), 109.2 kg N ha<sup>−1</sup> (N2), 91.0 kg N ha<sup>−1</sup> (N3), 72.8 kg N ha<sup>−1</sup> (N4), 54.6 kg N ha<sup>−1</sup> (N5), and 36.4 kg N ha<sup>−1</sup> (N6). Hyperspectral image acquisitions were performed at different shooting angles of 105° and 125° from the surface, and spike, flag leaf, and the second uppermost leaf were divided into five parts from apex to base when analyzing the images. The growth analysis conducted at heading showed that the N6 was 85.6% in the plant height, 44.1% in LAI, and 64.9% in SPAD as compared to N1. The nitrogen content in the leaf decreased by 55.2% compared to N1 and the quantity was 44.9% in N6 compared to N1. Based on the vegetation indices obtained from hyperspectral reflectances at the heading stage, the spike was not suitable for analysis. In the case of the flag leaf and the 2nd uppermost leaf, the vegetation indices from spectral data taken at 105 degrees were more appropriate for acquiring imaging data by clearly dividing the effects of fertilization level. The results of the regional variation in a leaf showed that the region of interest (ROI), which is close to the apex of the flag leaf and the base of the second uppermost leaf, has a high coefficient of determination between the fertilization levels and the vegetation indices, which effectively reflected the status of wheat.
format	article
author	Jae Gyeong Jung Ki Eun Song Sun Hee Hong Sang In Shim
author_facet	Jae Gyeong Jung Ki Eun Song Sun Hee Hong Sang In Shim
author_sort	Jae Gyeong Jung
title	Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
title_short	Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
title_full	Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
title_fullStr	Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
title_full_unstemmed	Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient
title_sort	hyperspectral characteristics of an individual leaf of wheat grown under nitrogen gradient
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/420aa53c95a24a3ab16e2d2e5917f20e
work_keys_str_mv	AT jaegyeongjung hyperspectralcharacteristicsofanindividualleafofwheatgrownundernitrogengradient AT kieunsong hyperspectralcharacteristicsofanindividualleafofwheatgrownundernitrogengradient AT sunheehong hyperspectralcharacteristicsofanindividualleafofwheatgrownundernitrogengradient AT sanginshim hyperspectralcharacteristicsofanindividualleafofwheatgrownundernitrogengradient
_version_	1718410766979170304

Hyperspectral Characteristics of an Individual Leaf of Wheat Grown under Nitrogen Gradient

Ejemplares similares