Delineating vineyard zones by fuzzy K-means algorithm based on grape sampling variables
- 14 September 2018
- journal article
- research article
- Published by Elsevier in Scientia Horticulturae
- Vol. 243, 559-566
Abstract
No abstract availableKeywords
Funding Information
- the Universidad de León, Spain (2016/00145/001-T102)
This publication has 20 references indexed in Scilit:
- Relationship between physical and chemical parameters for four commercial grape varieties from the Bierzo region (Spain)Scientia Horticulturae, 2012
- Selective harvesting is a feasible and profitable strategy even when grape and wine production is geared towards large fermentation volumesAustralian Journal of Grape and Wine Research, 2011
- Influence of the heterogeneity of grape phenolic maturity on wine composition and qualityFood Chemistry, 2011
- Understanding variability in winegrape production systemsAustralian Journal of Grape and Wine Research, 2008
- Influence of Vine Vigor on Grape (Vitis viniferaL. Cv. Pinot Noir) and Wine ProanthocyanidinsJournal of Agricultural and Food Chemistry, 2005
- Understanding variability in winegrape production systems 2. Within vineyard variation in quality over several vintagesAustralian Journal of Grape and Wine Research, 2005
- Shiraz berry size in relation to seed number and implications for juice and wine compositionAustralian Journal of Grape and Wine Research, 2005
- Management Zone Analyst (MZA)Agronomy Journal, 2004
- Soil Factors and their Influence on Within-field Crop Variability, Part II: Spatial Analysis and Determination of Management ZonesBiosystems Engineering, 2003
- Geostatistics in soil science: state-of-the-art and perspectivesGeoderma, 1999