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Big data architecture for environmental analytics
conference contribution
posted on 2023-05-23, 10:00 authored by Dutta, R, Li, C, Smith, D, Das, A, Jagannath AryalThis paper aims to develop big data based knowledge recommendation framework architecture for sustainable precision agricultural decision support system using Computational Intelligence (Machine Learning Analytics) and Semantic Web Technology (Ontological Knowledge Representation). Capturing domain knowledge about agricultural processes, understanding about soil, climatic condition based harvesting optimization and undocumented farmers' valuable experiences are essential requirements to develop a suitable system. Architecture to integrate data and knowledge from various heterogeneous data sources, combined with domain knowledge captured from the agricultural industry has been proposed. The proposed architecture suitability for heterogeneous big data integration has been examined for various environmental analytics based decision support case studies.
History
Publication title
Environmental Software Systems: Infrastructure, Services and ApplicationsEditors
R Denzer, RM Argent, G Schimak, J HrebicekPagination
578-588ISBN
978-3-319-15993-5Department/School
School of EngineeringPublisher
SpringerPlace of publication
SwitzerlandEvent title
11th IFIP Advances in Information and Communication Technology 2015Event Venue
Melbourne, AustraliaDate of Event (Start Date)
2015-03-25Date of Event (End Date)
2015-03-27Rights statement
Copyright 2014 SpringerRepository Status
- Restricted