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Soil Moisture Retrieval Using UWB Echoes via ANFIS and ANN

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

This paper introduces a new soil moisture (SM) retrieval approach based on ultra-wideband (UWB) echoes. The approach employs two fuzzy logic systems (FLSs) -adaptive network-based fuzzy inference system (ANFIS) and type 1 fuzzy logic system (T1FLS) respectively, to extract features in soil echoes. Artificial neural network (ANN) is applied to classify with different volume water contents (VWCs). 9 types of UWB soil echoes of different texture and VWC are collected and investigated using our approach. Final analysis shows ANFIS with ANN provides a better VWC correct recognition rate (CRR) than T1FLS with ANN at high SNRs.

Keywords

Soil moisture retrieval ANFIS T1FLS ANN Ultra-wideband 

Notes

Acknowledgments

This work was supported by the National Natural Science Foundation of China (61671138), the Fundamental Research Funds for the Central Universities Project No. ZYGX2015J021, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.University of Electronic Science and Technology of ChinaChengduChina

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