0

Full Content is available to subscribers

Subscribe/Learn More  >

A Knowledge-Based Approach for Supporting Aquaculture Data Analysis Proficiency

[+] Author Affiliations
Pedro Oliveira, Ruben Costa, Jose Lima, Fernando Ferreira, Joao Sarraipa

Universidade Nova de Lisboa, Caparica, Portugal

Paper No. IMECE2015-52183, pp. V02BT02A025; 7 pages
doi:10.1115/IMECE2015-52183
From:
  • ASME 2015 International Mechanical Engineering Congress and Exposition
  • Volume 2B: Advanced Manufacturing
  • Houston, Texas, USA, November 13–19, 2015
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5736-6
  • Copyright © 2015 by ASME

abstract

European aquaculture companies have business objectives that they cannot achieve due to lack of instruments that would enable them to manage and access such global knowledge and big data, in a multilingual, multi-sector and cross-border setting. A technological approach able to manage data from many companies, which will generate knowledge, will be of maximum usefulness for the aquaculture sector. The companies will be able to transform data into knowledge and use this knowledge to improve efficiency, increase profitability and do business in a sustainable, environmentally friendly way. To support this, the solution will use data mining practices and tools as a cloud service that will be specifically designed for the aquaculture sector, which will be accessible by all the fish farming community. In order to allow even small companies to explore their data and improve in terms of use of feed, environmental impact, growth of the fish, cost, etc. The work presented here, is still part of on-going work currently addressed under the EU AquaSmart project. Results achieved so far do not address the final conclusions of the project but form the basis for the formalization of the AquaSmart domain knowledge along with the Aquaculture Open Data Cloud.

Copyright © 2015 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In