DocumentCode
2953537
Title
Bulk soil moisture estimation using CosmOz cosmic ray sensor and ANFIS
Author
Dutta, Ritaban ; Terhorst, Andrew ; Hawdon, A. ; Cotching, B.
Author_Institution
Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Australia
fYear
2012
fDate
28-31 Oct. 2012
Firstpage
1
Lastpage
4
Abstract
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.
Keywords
computerised instrumentation; cosmic ray apparatus; fuzzy neural nets; fuzzy reasoning; fuzzy set theory; hydrological techniques; moisture; sensors; soil; ANFIS; CosmOz cosmic ray sensor; FCM; adaptive neurofuzzy inference system; bulk soil moisture estimation; cosmic ray soil moisture probe; fuzzy C means algorithm; Calibration; Estimation; Neutrons; Probes; Soil measurements; Soil moisture;
fLanguage
English
Publisher
ieee
Conference_Titel
Sensors, 2012 IEEE
Conference_Location
Taipei
ISSN
1930-0395
Print_ISBN
978-1-4577-1766-6
Electronic_ISBN
1930-0395
Type
conf
DOI
10.1109/ICSENS.2012.6411570
Filename
6411570
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