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Bulk soil moisture estimation using CosmOz cosmic ray sensor and ANFIS

conference contribution
posted on 2023-05-23, 18:36 authored by Dutta, R, Terhorst, A, Hawdon, A, Cotching, W
This paper investigates a novel technique based on Fuzzy C means (FCM) algorithm and Adaptive Neuro-Fuzzy Inference System (ANFIS) to estimate soil moisture using cosmic ray soil moisture probes deployed across Australia. These probes are a brand new sensing technology still being evaluated. Preliminary results indicate ANFIS is able to estimate soil moisture with 90% accuracy.

History

Publication title

IEEE SENSORS 2012 Proceedings

Editors

IEEE

Pagination

741-745

ISBN

978-1-4577-1766-6

Department/School

Tasmanian Institute of Agriculture (TIA)

Publisher

IEEE

Place of publication

Taipei, Taiwan

Event title

SENSORS IEEE 2012

Event Venue

Taipei, Taiwan

Date of Event (Start Date)

2012-10-28

Date of Event (End Date)

2012-10-31

Repository Status

  • Restricted

Socio-economic Objectives

Terrestrial systems and management not elsewhere classified

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    University Of Tasmania

    Categories

    Keywords

    soil moisturecosmic ray sensorFuzzy C means algorithmsensors

    Licence

    In Copyright

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