Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis

The leaf area index (LAI) of a vineyard (Vitis vinifera L.) cv. Cabernet Sauvignon located in the commune of Cauquenes, Maule Region in Chile, was estimated from digital images obtained with a commercial camera using two indirect methods: Leaf Area Gap and Brightness (LAGB) and -Photogrammetric Leaf...

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Autores principales: Espinosa L.,Miguel, Acuña C.,Eduardo, Espinosa B.,Miguel, Barrera B.,Juan
Lenguaje:English
Publicado: Instituto de Investigaciones Agropecuarias, INIA 2010
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200015
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spelling oai:scielo:S0718-583920100002000152018-10-01Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical TrellisEspinosa L.,MiguelAcuña C.,EduardoEspinosa B.,MiguelBarrera B.,Juan Vitis vinifera leaf area index digital image photographic camera The leaf area index (LAI) of a vineyard (Vitis vinifera L.) cv. Cabernet Sauvignon located in the commune of Cauquenes, Maule Region in Chile, was estimated from digital images obtained with a commercial camera using two indirect methods: Leaf Area Gap and Brightness (LAGB) and -Photogrammetric Leaf Area Quantification System (PLAQS). The latter requires deleafing of the grapevine. In a normalized difference vegetation index (NDVI) map, three points of vine vigor were selected: high, medium, and low for which horizontal and vertical images were obtained. Images were filtered with the Arc View GIS 3.1 program to provide only leaf images and corresponding pixel numbers. Image area and square meters per linear meter were calculated. The best models were selected from  three linear regression adjustments: i) LAI of LAGB vertical images of with LAI of PLAQS, ii) LAI of PLAQS horizontal images with and, iii) LAI of both types of images with PLAQS. The parameters in all models were significant. Adjustment between the LAGB and PLAQS vertical images provides greater simplicity and easy calculation since it requires only a vertical image to estimate LAI. Images thus obtained can accurately estimate LAI in this type of cultivar.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.70 n.2 20102010-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200015en10.4067/S0718-58392010000200015
institution Scielo Chile
collection Scielo Chile
language English
topic Vitis vinifera
leaf area index
digital image
photographic camera
spellingShingle Vitis vinifera
leaf area index
digital image
photographic camera
Espinosa L.,Miguel
Acuña C.,Eduardo
Espinosa B.,Miguel
Barrera B.,Juan
Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
description The leaf area index (LAI) of a vineyard (Vitis vinifera L.) cv. Cabernet Sauvignon located in the commune of Cauquenes, Maule Region in Chile, was estimated from digital images obtained with a commercial camera using two indirect methods: Leaf Area Gap and Brightness (LAGB) and -Photogrammetric Leaf Area Quantification System (PLAQS). The latter requires deleafing of the grapevine. In a normalized difference vegetation index (NDVI) map, three points of vine vigor were selected: high, medium, and low for which horizontal and vertical images were obtained. Images were filtered with the Arc View GIS 3.1 program to provide only leaf images and corresponding pixel numbers. Image area and square meters per linear meter were calculated. The best models were selected from  three linear regression adjustments: i) LAI of LAGB vertical images of with LAI of PLAQS, ii) LAI of PLAQS horizontal images with and, iii) LAI of both types of images with PLAQS. The parameters in all models were significant. Adjustment between the LAGB and PLAQS vertical images provides greater simplicity and easy calculation since it requires only a vertical image to estimate LAI. Images thus obtained can accurately estimate LAI in this type of cultivar.
author Espinosa L.,Miguel
Acuña C.,Eduardo
Espinosa B.,Miguel
Barrera B.,Juan
author_facet Espinosa L.,Miguel
Acuña C.,Eduardo
Espinosa B.,Miguel
Barrera B.,Juan
author_sort Espinosa L.,Miguel
title Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
title_short Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
title_full Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
title_fullStr Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
title_full_unstemmed Commercial Digital Camera to Estimate Postharvest Leaf Area Index in Vitis vinifera L. cv. Cabernet Sauvignon on a Vertical Trellis
title_sort commercial digital camera to estimate postharvest leaf area index in vitis vinifera l. cv. cabernet sauvignon on a vertical trellis
publisher Instituto de Investigaciones Agropecuarias, INIA
publishDate 2010
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392010000200015
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