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ClusterWIS - A Decentralized Forest Information and Management System for the Cluster Forestry and Wood

Authors:
Jürgen Roßmann
Michael Schluse
Martin Hoppen
Gregor Nägele
Tobias Marquardt
Christoph Averdung
Werner Poschenrieder
Fabian Schwaiger

Keywords: forest information system; sustainable feedstock management; wood and biomass mobilization; decentralized data management

Abstract:
The cluster forestry and wood’s major challenges are its structural complexity and heterogeneity, its many stakeholders, and its decentralized processes. The aim of the ClusterWIS approach is to overcome these challenges. Its core idea is the development of a novel forest information system based on a decentralized infrastructure integrating new planning and consulting methods and interconnecting existing decentralized work processes. It provides end-to-end encrypted communication to run the various processes and to supply them with data while using international standards throughout the system and keeping participation requirements low.

Pages: 29 to 35

Copyright: Copyright (c) IARIA, 2018

Publication date: March 25, 2018

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-617-0

Location: Rome, Italy

Dates: from March 25, 2018 to March 29, 2018