Descripción
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Vine vigour and fruit-cluster exposure to sunlight in a grapevine canopy fruiting zone has been shown to strongly correlate with key fruit composition and diseases incidence. In this framework, the use of automated image analysis for the identification of plant elements is an important issue to be addressed for vineyard assessment (Dunn and Martin, 2004). In addition, optimum segmentation method is strongly application dependent and thus needs to be tested for each particular case (Cheng et al., 2001). The objective of the present work is to propose and test a simple, rapid and practical method for the identification of two relevant elements of grapevines canopy: clusters and green leaves. | |
Internacional
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Si |
Nombre congreso
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The International Association for Spectral Imaging: IASIM_10, |
Tipo de participación
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960 |
Lugar del congreso
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Dublin |
Revisores
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Si |
ISBN o ISSN
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0000000000000 |
DOI
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Fecha inicio congreso
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18/11/2010 |
Fecha fin congreso
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19/11/2010 |
Desde la página
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40 |
Hasta la página
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41 |
Título de las actas
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IASIM ¿ 10 |