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
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;
Conference_Titel :
Sensors, 2012 IEEE
Conference_Location :
Taipei
Print_ISBN :
978-1-4577-1766-6
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2012.6411570
