Advantages and limitations of using near infrared spectroscopy in plant phenomics applications

The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the la...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Cozzolino, Daniel [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics

Übergeordnetes Werk:	Enthalten in: Computers and electronics in agriculture - Amsterdam [u.a.] : Elsevier Science, 1985, 212
Übergeordnetes Werk:	volume:212

DOI / URN:	10.1016/j.compag.2023.108078

Katalog-ID:	ELV062688545

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allfields	10.1016/j.compag.2023.108078 doi (DE-627)ELV062688545 (ELSEVIER)S0168-1699(23)00466-0 DE-627 ger DE-627 rda eng 620 630 640 004 VZ 48.03 bkl Cozzolino, Daniel verfasserin aut Advantages and limitations of using near infrared spectroscopy in plant phenomics applications 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool. High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics Enthalten in Computers and electronics in agriculture Amsterdam [u.a.] : Elsevier Science, 1985 212 Online-Ressource (DE-627)320567826 (DE-600)2016151-7 (DE-576)090955684 1872-7107 nnns volume:212 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.03 Methoden und Techniken der Land- und Forstwirtschaft VZ AR 212
spelling	10.1016/j.compag.2023.108078 doi (DE-627)ELV062688545 (ELSEVIER)S0168-1699(23)00466-0 DE-627 ger DE-627 rda eng 620 630 640 004 VZ 48.03 bkl Cozzolino, Daniel verfasserin aut Advantages and limitations of using near infrared spectroscopy in plant phenomics applications 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool. High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics Enthalten in Computers and electronics in agriculture Amsterdam [u.a.] : Elsevier Science, 1985 212 Online-Ressource (DE-627)320567826 (DE-600)2016151-7 (DE-576)090955684 1872-7107 nnns volume:212 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.03 Methoden und Techniken der Land- und Forstwirtschaft VZ AR 212
allfields_unstemmed	10.1016/j.compag.2023.108078 doi (DE-627)ELV062688545 (ELSEVIER)S0168-1699(23)00466-0 DE-627 ger DE-627 rda eng 620 630 640 004 VZ 48.03 bkl Cozzolino, Daniel verfasserin aut Advantages and limitations of using near infrared spectroscopy in plant phenomics applications 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool. High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics Enthalten in Computers and electronics in agriculture Amsterdam [u.a.] : Elsevier Science, 1985 212 Online-Ressource (DE-627)320567826 (DE-600)2016151-7 (DE-576)090955684 1872-7107 nnns volume:212 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.03 Methoden und Techniken der Land- und Forstwirtschaft VZ AR 212
allfieldsGer	10.1016/j.compag.2023.108078 doi (DE-627)ELV062688545 (ELSEVIER)S0168-1699(23)00466-0 DE-627 ger DE-627 rda eng 620 630 640 004 VZ 48.03 bkl Cozzolino, Daniel verfasserin aut Advantages and limitations of using near infrared spectroscopy in plant phenomics applications 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool. High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics Enthalten in Computers and electronics in agriculture Amsterdam [u.a.] : Elsevier Science, 1985 212 Online-Ressource (DE-627)320567826 (DE-600)2016151-7 (DE-576)090955684 1872-7107 nnns volume:212 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.03 Methoden und Techniken der Land- und Forstwirtschaft VZ AR 212
allfieldsSound	10.1016/j.compag.2023.108078 doi (DE-627)ELV062688545 (ELSEVIER)S0168-1699(23)00466-0 DE-627 ger DE-627 rda eng 620 630 640 004 VZ 48.03 bkl Cozzolino, Daniel verfasserin aut Advantages and limitations of using near infrared spectroscopy in plant phenomics applications 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool. High throughput Sampling Phenotyping NIR Hyperspectral Chemometrics Enthalten in Computers and electronics in agriculture Amsterdam [u.a.] : Elsevier Science, 1985 212 Online-Ressource (DE-627)320567826 (DE-600)2016151-7 (DE-576)090955684 1872-7107 nnns volume:212 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 48.03 Methoden und Techniken der Land- und Forstwirtschaft VZ AR 212
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author	Cozzolino, Daniel
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title	Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
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title_full	Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
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title_sort	advantages and limitations of using near infrared spectroscopy in plant phenomics applications
title_auth	Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
abstract	The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool.
abstractGer	The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool.
abstract_unstemmed	The utilization of near infrared (NIR) spectroscopy as analytical method has been underestimated largely to its complex and unresolvable spectra. Nevertheless, the past 25 years have witnessed a growing interest for non-invasive and high throughput measurements in the field, glasshouse and in the laboratory to measure different traits of importance in crops and plants (e.g. phenomics). Developments in this field were possible by incorporating different techniques most of them belonging to the family of vibrational spectroscopy (e.g. near and mid infrared spectroscopy, Raman, and hyperspectral imaging). However, there are still several issues and challenges that need to be addressed and understood before and during the application of these techniques. This paper provides with an overview of the advantages and limitations on the use of NIR spectroscopy (contact and hyperspectral) as high throughput phenotyping tool.
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title_short	Advantages and limitations of using near infrared spectroscopy in plant phenomics applications
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doi_str	10.1016/j.compag.2023.108078
up_date	2024-07-06T19:04:53.774Z
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Advantages and limitations of using near infrared spectroscopy in plant phenomics applications

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