Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field
Background and Aims Optical sensors can accomplish frequent and spatially widespread non‐destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on‐the‐go (MXM), for the assessment of the spatial variability in the vineyard...
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| Veröffentlicht in: | Australian journal of grape and wine research 2016-10, Vol.22 (3), p.438-449 |
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| container_title | Australian journal of grape and wine research |
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| creator | Diago, M.P. Rey-Carames, C. Le Moigne, M. Fadaili, E.M. Tardaguila, J. Cerovic, Z.G. |
| description | Background and Aims
Optical sensors can accomplish frequent and spatially widespread non‐destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on‐the‐go (MXM), for the assessment of the spatial variability in the vineyard of the concentration of chlorophyll, flavonol and nitrogen in grapevine leaves, against that of a leaf‐clip type optical sensor (DX4).
Methods and Results
Measurements were taken in a commercial vineyard on the adaxial and abaxial sides of leaves of nine Vitis vinifera L. cultivars, manually with the DX4 and MXH, and with the MXM mounted on an all‐terrain vehicle. A significant correlation was obtained for the chlorophyll and nitrogen indices of MXH and DX4 (R2 > 0.90) and of MXM and DX4 (R2 > 0.74), and the calibration equations were defined. A similar spatial distribution was achieved for the chlorophyll, flavonol and nitrogen indices of the leaves.
Conclusions
The capability of the fluorescence sensor, used manually and on‐the‐go, for characterising the nutritional status of grapevines was demonstrated.
Significance of the Study
This work reports the first calibration of the hand‐held and on‐the‐go fluorescence sensor to assess key nutritional parameters of grapevines. The applicability of this sensor on‐the‐go to characterise the spatial variability of the vegetative status of a vineyard for the delineation of homogeneous management zones was proved. |
| doi_str_mv | 10.1111/ajgw.12228 |
| format | Article |
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Optical sensors can accomplish frequent and spatially widespread non‐destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on‐the‐go (MXM), for the assessment of the spatial variability in the vineyard of the concentration of chlorophyll, flavonol and nitrogen in grapevine leaves, against that of a leaf‐clip type optical sensor (DX4).
Methods and Results
Measurements were taken in a commercial vineyard on the adaxial and abaxial sides of leaves of nine Vitis vinifera L. cultivars, manually with the DX4 and MXH, and with the MXM mounted on an all‐terrain vehicle. A significant correlation was obtained for the chlorophyll and nitrogen indices of MXH and DX4 (R2 > 0.90) and of MXM and DX4 (R2 > 0.74), and the calibration equations were defined. A similar spatial distribution was achieved for the chlorophyll, flavonol and nitrogen indices of the leaves.
Conclusions
The capability of the fluorescence sensor, used manually and on‐the‐go, for characterising the nutritional status of grapevines was demonstrated.
Significance of the Study
This work reports the first calibration of the hand‐held and on‐the‐go fluorescence sensor to assess key nutritional parameters of grapevines. The applicability of this sensor on‐the‐go to characterise the spatial variability of the vegetative status of a vineyard for the delineation of homogeneous management zones was proved.</description><identifier>ISSN: 1322-7130</identifier><identifier>EISSN: 1755-0238</identifier><identifier>DOI: 10.1111/ajgw.12228</identifier><language>eng</language><publisher>Adelaide: Blackwell Publishing Ltd</publisher><subject>Calibration ; Chlorophyll ; Correlation ; Cultivars ; Delineation ; Fluorescence ; grapevine ; Grapevines ; Leaves ; Management ; Mathematical analysis ; Mathematical models ; Measurement methods ; Monitoring ; Nitrogen ; Nutrient status ; Nutrients ; Nutritional status ; Optical measuring instruments ; optical sensor ; precision viticulture ; proximal sensing ; Sensors ; Spatial analysis ; Spatial distribution ; Terrain ; Variability</subject><ispartof>Australian journal of grape and wine research, 2016-10, Vol.22 (3), p.438-449</ispartof><rights>2016 Australian Society of Viticulture and Oenology Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3688-f788cfdd955c51360d2251bc260a63f16fe47907e94526a512be7e7253143a4c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Diago, M.P.</creatorcontrib><creatorcontrib>Rey-Carames, C.</creatorcontrib><creatorcontrib>Le Moigne, M.</creatorcontrib><creatorcontrib>Fadaili, E.M.</creatorcontrib><creatorcontrib>Tardaguila, J.</creatorcontrib><creatorcontrib>Cerovic, Z.G.</creatorcontrib><title>Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field</title><title>Australian journal of grape and wine research</title><addtitle>Australian Journal of Grape and Wine Research</addtitle><description>Background and Aims
Optical sensors can accomplish frequent and spatially widespread non‐destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on‐the‐go (MXM), for the assessment of the spatial variability in the vineyard of the concentration of chlorophyll, flavonol and nitrogen in grapevine leaves, against that of a leaf‐clip type optical sensor (DX4).
Methods and Results
Measurements were taken in a commercial vineyard on the adaxial and abaxial sides of leaves of nine Vitis vinifera L. cultivars, manually with the DX4 and MXH, and with the MXM mounted on an all‐terrain vehicle. A significant correlation was obtained for the chlorophyll and nitrogen indices of MXH and DX4 (R2 > 0.90) and of MXM and DX4 (R2 > 0.74), and the calibration equations were defined. A similar spatial distribution was achieved for the chlorophyll, flavonol and nitrogen indices of the leaves.
Conclusions
The capability of the fluorescence sensor, used manually and on‐the‐go, for characterising the nutritional status of grapevines was demonstrated.
Significance of the Study
This work reports the first calibration of the hand‐held and on‐the‐go fluorescence sensor to assess key nutritional parameters of grapevines. The applicability of this sensor on‐the‐go to characterise the spatial variability of the vegetative status of a vineyard for the delineation of homogeneous management zones was proved.</description><subject>Calibration</subject><subject>Chlorophyll</subject><subject>Correlation</subject><subject>Cultivars</subject><subject>Delineation</subject><subject>Fluorescence</subject><subject>grapevine</subject><subject>Grapevines</subject><subject>Leaves</subject><subject>Management</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Measurement methods</subject><subject>Monitoring</subject><subject>Nitrogen</subject><subject>Nutrient status</subject><subject>Nutrients</subject><subject>Nutritional status</subject><subject>Optical measuring instruments</subject><subject>optical sensor</subject><subject>precision viticulture</subject><subject>proximal sensing</subject><subject>Sensors</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Terrain</subject><subject>Variability</subject><issn>1322-7130</issn><issn>1755-0238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9UcmOEzEUbCGQGAYufIElzh68tJc-DhGEZQCNBIrExXK6n4NDxw5-3RnmF_hqnARx5F2q9FTLoZrmOWdXvN5Lv93cXXEhhH3QXHCjFGVC2oeVSyGo4ZI9bp4gbhnTvOXiovm98GNcFz_FnEgOJOVEYzp4jAcgYZxzAewh9UDXHmEgCAlzQRJyIdN3IDufZj8SnwZSnfVDN5l4REDcQZqOkZvi93CICcgBNjDVqhqNFWckMZ1SQoRxeNo8Cn5EePYXL5uvb15_WbylN5-X7xbXN7SX2loajLV9GIZOqV5xqdkghOLrXmjmtQxcB2hNxwx0rRLaKy7WYMAIJXkrfdvLy-bFOXdf8s8ZcHLbPJdUKx3vmLJGt8r-V2WF7KxSmlcVP6vu4gj3bl_izpd7x5k7zuGOc7jTHO76_XJ1YtVDz56IE_z65_Hlh9NGGuVWn5buwy23t6--rdxH-Qc2rY_0</recordid><startdate>201610</startdate><enddate>201610</enddate><creator>Diago, M.P.</creator><creator>Rey-Carames, C.</creator><creator>Le Moigne, M.</creator><creator>Fadaili, E.M.</creator><creator>Tardaguila, J.</creator><creator>Cerovic, Z.G.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>7QO</scope><scope>7QR</scope><scope>7T7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>201610</creationdate><title>Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field</title><author>Diago, M.P. ; Rey-Carames, C. ; Le Moigne, M. ; Fadaili, E.M. ; Tardaguila, J. ; Cerovic, Z.G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3688-f788cfdd955c51360d2251bc260a63f16fe47907e94526a512be7e7253143a4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Calibration</topic><topic>Chlorophyll</topic><topic>Correlation</topic><topic>Cultivars</topic><topic>Delineation</topic><topic>Fluorescence</topic><topic>grapevine</topic><topic>Grapevines</topic><topic>Leaves</topic><topic>Management</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Measurement methods</topic><topic>Monitoring</topic><topic>Nitrogen</topic><topic>Nutrient status</topic><topic>Nutrients</topic><topic>Nutritional status</topic><topic>Optical measuring instruments</topic><topic>optical sensor</topic><topic>precision viticulture</topic><topic>proximal sensing</topic><topic>Sensors</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Terrain</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Diago, M.P.</creatorcontrib><creatorcontrib>Rey-Carames, C.</creatorcontrib><creatorcontrib>Le Moigne, M.</creatorcontrib><creatorcontrib>Fadaili, E.M.</creatorcontrib><creatorcontrib>Tardaguila, J.</creatorcontrib><creatorcontrib>Cerovic, Z.G.</creatorcontrib><collection>Istex</collection><collection>Biotechnology Research Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Australian journal of grape and wine research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Diago, M.P.</au><au>Rey-Carames, C.</au><au>Le Moigne, M.</au><au>Fadaili, E.M.</au><au>Tardaguila, J.</au><au>Cerovic, Z.G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field</atitle><jtitle>Australian journal of grape and wine research</jtitle><addtitle>Australian Journal of Grape and Wine Research</addtitle><date>2016-10</date><risdate>2016</risdate><volume>22</volume><issue>3</issue><spage>438</spage><epage>449</epage><pages>438-449</pages><issn>1322-7130</issn><eissn>1755-0238</eissn><abstract>Background and Aims
Optical sensors can accomplish frequent and spatially widespread non‐destructive monitoring of plant nutrient status. The main goal was to calibrate a fluorescence sensor, used both manually (MXH) and on‐the‐go (MXM), for the assessment of the spatial variability in the vineyard of the concentration of chlorophyll, flavonol and nitrogen in grapevine leaves, against that of a leaf‐clip type optical sensor (DX4).
Methods and Results
Measurements were taken in a commercial vineyard on the adaxial and abaxial sides of leaves of nine Vitis vinifera L. cultivars, manually with the DX4 and MXH, and with the MXM mounted on an all‐terrain vehicle. A significant correlation was obtained for the chlorophyll and nitrogen indices of MXH and DX4 (R2 > 0.90) and of MXM and DX4 (R2 > 0.74), and the calibration equations were defined. A similar spatial distribution was achieved for the chlorophyll, flavonol and nitrogen indices of the leaves.
Conclusions
The capability of the fluorescence sensor, used manually and on‐the‐go, for characterising the nutritional status of grapevines was demonstrated.
Significance of the Study
This work reports the first calibration of the hand‐held and on‐the‐go fluorescence sensor to assess key nutritional parameters of grapevines. The applicability of this sensor on‐the‐go to characterise the spatial variability of the vegetative status of a vineyard for the delineation of homogeneous management zones was proved.</abstract><cop>Adelaide</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/ajgw.12228</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1322-7130 |
| ispartof | Australian journal of grape and wine research, 2016-10, Vol.22 (3), p.438-449 |
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| source | Alma/SFX Local Collection |
| subjects | Calibration Chlorophyll Correlation Cultivars Delineation Fluorescence grapevine Grapevines Leaves Management Mathematical analysis Mathematical models Measurement methods Monitoring Nitrogen Nutrient status Nutrients Nutritional status Optical measuring instruments optical sensor precision viticulture proximal sensing Sensors Spatial analysis Spatial distribution Terrain Variability |
| title | Calibration of non-invasive fluorescence-based sensors for the manual and on-the-go assessment of grapevine vegetative status in the field |
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