An integrated knowledge-based system for grasslands ecosystems

    Authors

    L. D. Xu; N. Liang;Q. Gao

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Knowledge-Based Syst.

    Keywords

    knowledge-based systems; integrated systems; ecosystems; NATURAL-RESOURCE MANAGEMENT; ARTIFICIAL-INTELLIGENCE; Computer Science, Artificial Intelligence

    Abstract

    In this study, an integrated knowledge-based system (KBS) for the hilly, sandy grassland ecosystems was developed. The system is a component of the Inner Mongolia Grassland Ecosystem Research Information Systems (IMGERIS). IMGERIS is an important subsystem of Chinese Ecological Research Network (CERN). The system was designed to manage land use, planting species/variety, and optimal coverage of plants. The system integrated a KBS for ecosystem with a model system that includes theoretical models of soil water dynamics. The KBS in the system was coded in Prolog and the model system for soil water dynamics was coded in C. The model system was integrated with the KBS. (C) 2001 Elsevier Science B.V. All rights reserved.

    Journal Title

    Knowledge-Based Systems

    Volume

    14

    Issue/Number

    5-6

    Publication Date

    1-1-2001

    Document Type

    Article

    Language

    English

    First Page

    271

    Last Page

    280

    WOS Identifier

    WOS:000170329600008

    ISSN

    0950-7051

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