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Prediction of parthenium weed infestation using fuzzy logic applied to geographic information system (GIS) spatial image

conference contribution
posted on 2017-12-06, 00:00 authored by Andrew ChiouAndrew Chiou, Xinghuo YuXinghuo Yu
This paper demonstrates the framework and methodology how Parthenium weed population can be predicted using rule-base fuzzy logic as applied to GIS spatial image.

Funding

Category 3 - Industry and Other Research Income

History

Parent Title

Meeting the grand challenge : machines that serve people : [proceedings of] the 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2001), December, 2001, Sunday 2nd to Wednesday 5th, the University of Melbourne, Australia.

Start Page

1363

End Page

1366

Number of Pages

4

Start Date

2001-12-02

Finish Date

2001-12-05

ISBN-10

078037293X

ISBN-13

9780780372931

Location

Melbourne, Australia

Publisher

IEEE

Place of Publication

Melbourne, Australia

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • No

Name of Conference

IEEE International Conference on Fuzzy Systems

Usage metrics

    CQUniversity

    Categories

    Keywords

    Fuzzy systemsWeedsPartheniumPredictionGISDecision Support and Group Support SystemsHuman Geography not elsewhere classified

    Licence

    CQUniversity General 1.0

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