Compartir
Título
Delineating vineyard zones by fuzzy K-means algorithm based on grape sampling variables
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Scientia Horticulturae
Cita Bibliográfica
González-Fernández, A. B., Rodríguez-Pérez, J. R., Sanz-Ablanedo, E., Valenciano, J. B., & Marcelo, V. (2019). Delineating vineyard zones by fuzzy K-means algorithm based on grape sampling variables. Scientia Horticulturae, 243, 559-566. https://doi.org/10.1016/J.SCIENTA.2018.09.012
Editorial
Elsevier
Fecha
2019
ISSN
0304-4238
Resumen
[EN] This study describes a method for delineating management zones using interpolated maps of grape characteristics recorded in 2013 and 2014 in a Godello vineyard located in the Bierzo Denomination of Origin (León, Northwest Spain). Ten variables were analyzed and recorded for the sampled vines (50 vines/ha). Interpolated maps reflecting each variable and year were created by spatial interpolation (kriging) from the sampled points. Principal component analysis was used to detect relationships between variables and to select the variables to be used to create the cluster classification. Using the fuzzy k-means classification algorithm implemented in the Management Zone Analyst (MZA v.1.0.0) software, several zones were delineated by combining the studied variables. The results delineated 2 different management areas composed of 3 zones each based on winery objectives: (1) to increase grape production (combining the yield for 2013 and 2014); and (2) to improve grape composition (combining the pH for 2013 and 2014).
Materia
Palabras clave
Peer review
SI
ID proyecto
- info:eu-repo/grantAgreement/EC/FP7/12345 o info:eu-repo/grantAgreement/2016/00145/001-T102
URI
DOI
Versión del editor
Aparece en las colecciones
- Artículos [5503]
Ficheros en el ítem
Tamaño:
1.397
xmlui.dri2xhtml.METS-1.0.size-megabytes
Formato:
Adobe PDF