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Memorias de investigación
Communications at congresses:
Pixel classification through Mahalanobis distance for identification of grapevine canopy elements on RGB images
Year:2010
Research Areas
  • Agriculture
Information
Abstract
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.
International
Si
Congress
The International Association for Spectral Imaging: IASIM_10,
960
Place
Dublin
Reviewers
Si
ISBN/ISSN
0000000000000
Start Date
18/11/2010
End Date
19/11/2010
From page
40
To page
41
IASIM ¿ 10
Participants
  • Autor: Ana Herrero Langreo (UPM)
  • Participante: M.P Diago,
  • Autor: Pilar Barreiro Elorza (UPM)
  • Participante: J.; Baluja,
  • Participante: H Ochagavia,
  • Participante: J Tardaguila
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
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