Agriculture data for all - Integrated tools for agriculture data integration, analytics, and sharing

Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014

Volumn , Issue , 2014, Pages 774-775

  Nabrzyski, Jarek ^a   Liu, Cheng ^a   Vardeman, Charles ^a   Gesing, Sandra ^a   Budhatoki, Milan ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

data semantic integration; geospatial analysis

Indexed keywords

AGRICULTURAL ROBOTS; AGRICULTURE; CLIMATE MODELS; REMOTE SENSING; RISK ASSESSMENT; SEMANTICS;

AGRICULTURE SECTORS; DATA SEMANTICS; DIGITAL ELEVATION MODEL; GEO-SPATIAL ANALYSIS; NATIONAL SOIL DATABASE; PUBLIC AND PRIVATE DOMAINS; REMOTE SENSING DATA; RESTORATION STRATEGIES;

DATA INTEGRATION;

EID: 84923888393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.Congress.2014.117     Document Type: Conference Paper

References (6)

1. Agricultural Metadata Element Set, http://aims.fao.org/standards/agmes
2. http://www.fao.org/home/en/
3. http://aims.faoorg/tools/options
4. D.M. Robertson and P.A. Saad, SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin, Journal of Environmental Quality 42:1422-1440.
5. http://www.synglyphx.com
6. http://environmentalchange.nd.edu