Analysis of Big Data technologies for use in agro-environmental science

Environmental Modelling and Software

Volumn 84, Issue , 2016, Pages 494-504

  Lokers, Rob ^a   Knapen, Rob ^a   Janssen, Sander ^a   van Randen, Yke ^a   Jansen, Jacques ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Agriculture; Big Data; Data integration; Forestry; Interdisciplinary research; Semantics

Indexed keywords

AGRICULTURE; DATA INTEGRATION; ENVIRONMENTAL TECHNOLOGY; FORESTRY; SEMANTICS;

DATA INTENSIVE; DATA INTENSIVE SCIENCE; DATA TECHNOLOGIES; ENVIRONMENTAL RESEARCHES; ENVIRONMENTAL SCIENCE; HIGH PERFORMANCE COMPUTING; INTERDISCIPLINARY RESEARCH; THEORETICAL FRAMEWORK;

BIG DATA;

AGRICULTURAL APPLICATION; DATA ASSIMILATION; DATA SET; ENVIRONMENTAL TECHNOLOGY; FORESTRY; HETEROGENEITY; INTERDISCIPLINARY APPROACH; RESEARCH METHOD;

EID: 84982822155     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2016.07.017     Document Type: Article

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