Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils

Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Kelvin Edom Alordzinu [verfasserIn] Jiuhao Li [verfasserIn] Yubin Lan [verfasserIn] Sadick Amoakohene Appiah [verfasserIn] Alaa AL Aasmi [verfasserIn] Hao Wang [verfasserIn] Juan Liao [verfasserIn] Livingstone Kobina Sam-Amoah [verfasserIn] Songyang Qiao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 21(2021), 17, p 5705
Übergeordnetes Werk:	volume:21 ; year:2021 ; number:17, p 5705

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s21175705

Katalog-ID:	DOAJ030067375

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520			\|a Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types.
650		4	\|a crop water-stress
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700	0		\|a Songyang Qiao \|e verfasserin \|4 aut
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allfields	10.3390/s21175705 doi (DE-627)DOAJ030067375 (DE-599)DOAJ7345c832108946589bacdb1db4da1add DE-627 ger DE-627 rakwb eng TP1-1185 Kelvin Edom Alordzinu verfasserin aut Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology Jiuhao Li verfasserin aut Yubin Lan verfasserin aut Sadick Amoakohene Appiah verfasserin aut Alaa AL Aasmi verfasserin aut Hao Wang verfasserin aut Juan Liao verfasserin aut Livingstone Kobina Sam-Amoah verfasserin aut Songyang Qiao verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5705 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5705 https://doi.org/10.3390/s21175705 kostenfrei https://doaj.org/article/7345c832108946589bacdb1db4da1add kostenfrei https://www.mdpi.com/1424-8220/21/17/5705 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5705
spelling	10.3390/s21175705 doi (DE-627)DOAJ030067375 (DE-599)DOAJ7345c832108946589bacdb1db4da1add DE-627 ger DE-627 rakwb eng TP1-1185 Kelvin Edom Alordzinu verfasserin aut Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology Jiuhao Li verfasserin aut Yubin Lan verfasserin aut Sadick Amoakohene Appiah verfasserin aut Alaa AL Aasmi verfasserin aut Hao Wang verfasserin aut Juan Liao verfasserin aut Livingstone Kobina Sam-Amoah verfasserin aut Songyang Qiao verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5705 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5705 https://doi.org/10.3390/s21175705 kostenfrei https://doaj.org/article/7345c832108946589bacdb1db4da1add kostenfrei https://www.mdpi.com/1424-8220/21/17/5705 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5705
allfields_unstemmed	10.3390/s21175705 doi (DE-627)DOAJ030067375 (DE-599)DOAJ7345c832108946589bacdb1db4da1add DE-627 ger DE-627 rakwb eng TP1-1185 Kelvin Edom Alordzinu verfasserin aut Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology Jiuhao Li verfasserin aut Yubin Lan verfasserin aut Sadick Amoakohene Appiah verfasserin aut Alaa AL Aasmi verfasserin aut Hao Wang verfasserin aut Juan Liao verfasserin aut Livingstone Kobina Sam-Amoah verfasserin aut Songyang Qiao verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5705 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5705 https://doi.org/10.3390/s21175705 kostenfrei https://doaj.org/article/7345c832108946589bacdb1db4da1add kostenfrei https://www.mdpi.com/1424-8220/21/17/5705 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5705
allfieldsGer	10.3390/s21175705 doi (DE-627)DOAJ030067375 (DE-599)DOAJ7345c832108946589bacdb1db4da1add DE-627 ger DE-627 rakwb eng TP1-1185 Kelvin Edom Alordzinu verfasserin aut Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology Jiuhao Li verfasserin aut Yubin Lan verfasserin aut Sadick Amoakohene Appiah verfasserin aut Alaa AL Aasmi verfasserin aut Hao Wang verfasserin aut Juan Liao verfasserin aut Livingstone Kobina Sam-Amoah verfasserin aut Songyang Qiao verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5705 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5705 https://doi.org/10.3390/s21175705 kostenfrei https://doaj.org/article/7345c832108946589bacdb1db4da1add kostenfrei https://www.mdpi.com/1424-8220/21/17/5705 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5705
allfieldsSound	10.3390/s21175705 doi (DE-627)DOAJ030067375 (DE-599)DOAJ7345c832108946589bacdb1db4da1add DE-627 ger DE-627 rakwb eng TP1-1185 Kelvin Edom Alordzinu verfasserin aut Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types. crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology Jiuhao Li verfasserin aut Yubin Lan verfasserin aut Sadick Amoakohene Appiah verfasserin aut Alaa AL Aasmi verfasserin aut Hao Wang verfasserin aut Juan Liao verfasserin aut Livingstone Kobina Sam-Amoah verfasserin aut Songyang Qiao verfasserin aut In Sensors MDPI AG, 2003 21(2021), 17, p 5705 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:21 year:2021 number:17, p 5705 https://doi.org/10.3390/s21175705 kostenfrei https://doaj.org/article/7345c832108946589bacdb1db4da1add kostenfrei https://www.mdpi.com/1424-8220/21/17/5705 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 21 2021 17, p 5705
language	English
source	In Sensors 21(2021), 17, p 5705 volume:21 year:2021 number:17, p 5705
sourceStr	In Sensors 21(2021), 17, p 5705 volume:21 year:2021 number:17, p 5705
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators Chemical technology
isfreeaccess_bool	true
container_title	Sensors
authorswithroles_txt_mv	Kelvin Edom Alordzinu @@aut@@ Jiuhao Li @@aut@@ Yubin Lan @@aut@@ Sadick Amoakohene Appiah @@aut@@ Alaa AL Aasmi @@aut@@ Hao Wang @@aut@@ Juan Liao @@aut@@ Livingstone Kobina Sam-Amoah @@aut@@ Songyang Qiao @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	331640910
id	DOAJ030067375
language_de	englisch
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The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. 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callnumber-first	T - Technology
author	Kelvin Edom Alordzinu
spellingShingle	Kelvin Edom Alordzinu misc TP1-1185 misc crop water-stress misc tomato misc sandy loam misc silty soils misc ASD hyperspectral reflectance misc water stress indicators misc Chemical technology Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils
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topic_title	TP1-1185 Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils crop water-stress tomato sandy loam silty soils ASD hyperspectral reflectance water stress indicators
topic	misc TP1-1185 misc crop water-stress misc tomato misc sandy loam misc silty soils misc ASD hyperspectral reflectance misc water stress indicators misc Chemical technology
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title	Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils
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title_full	Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils
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author_browse	Kelvin Edom Alordzinu Jiuhao Li Yubin Lan Sadick Amoakohene Appiah Alaa AL Aasmi Hao Wang Juan Liao Livingstone Kobina Sam-Amoah Songyang Qiao
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title_sort	ground-based hyperspectral remote sensing for estimating water stress in tomato growth in sandy loam and silty loam soils
callnumber	TP1-1185
title_auth	Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils
abstract	Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types.
abstractGer	Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types.
abstract_unstemmed	Drought and water scarcity due to global warming, climate change, and social development have been the most death-defying threat to global agriculture production for the optimization of water and food security. Reflectance indices obtained by an Analytical Spectral Device (ASD) Spec 4 hyperspectral spectrometer from tomato growth in two soil texture types exposed to four water stress levels (70–100% FC, 60–70% FC, 50–60% FC, and 40–50% FC) was deployed to schedule irrigation and management of crops’ water stress. The treatments were replicated four times in a randomized complete block design (RCBD) in a 2 × 4 factorial experiment. Water stress treatments were monitored with Time Domain Reflectometer (TDR) every 12 h before and after irrigation to maintain soil water content at the desired (FC%). Soil electrical conductivity (Ec) was measured daily throughout the growth cycle of tomatoes in both soil types. Ec was revealing a strong correlation with water stress at <i<R</i<<sup<2</sup< above 0.95 <i<p</i< < 0.001. Yield was measured at the end of the end of the growing season. The results revealed that yield had a high correlation with water stress at <i<R</i<<sup<2</sup< = 0.9758 and 0.9816 <i<p</i< < 0.01 for sandy loam and silty loam soils, respectively. Leaf temperature (LT °C), relative leaf water content (RLWC), leaf chlorophyll content (LCC), Leaf area index (LAI), were measured at each growth stage at the same time spectral reflectance data were measured throughout the growth period. Spectral reflectance indices used were grouped into three: (1) greenness vegetative indices; (2) water overtone vegetation indices; (3) Photochemical Reflectance Index centered at 570 nm (PRI<sub<570</sub<), and normalized PRI (PRInorm). These reflectance indices were strongly correlated with all four water stress indicators and yield. The results revealed that NDVI, RDVI, WI, NDWI, NDWI<sub<1640</sub<, PRI<sub<570</sub<, and PRInorm were the most sensitive indices for estimating crop water stress at each growth stage in both sandy loam and silty loam soils at <i<R</i<<sup<2</sup< above 0.35. This study recounts the depth of 858 to 1640 nm band absorption to water stress estimation, comparing it to other band depths to give an insight into the usefulness of ground-based hyperspectral reflectance indices for assessing crop water stress at different growth stages in different soil types.
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container_issue	17, p 5705
title_short	Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils
url	https://doi.org/10.3390/s21175705 https://doaj.org/article/7345c832108946589bacdb1db4da1add https://www.mdpi.com/1424-8220/21/17/5705 https://doaj.org/toc/1424-8220
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Ground-Based Hyperspectral Remote Sensing for Estimating Water Stress in Tomato Growth in Sandy Loam and Silty Loam Soils

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