Estimation of soil moisture from GPR data using artificial neural networks-Reference-Cited by-同舟云学术

Estimation of soil moisture from GPR data using artificial neural networks

Published:2021-12-17 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES)
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Author:

Barkataki Nairit¹,Mazumdar Sharmistha¹,Tiru Banty²,Sarma Utpal¹

Affiliation:

1. Gauhati University,Dept of Instrumentation & USIC,Guwahati,India

2. Gauhati University,Dept of Physics,Guwahati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751451/9751452/09751623.pdf?arnumber=9751623

Reference25 articles.

1. Measuring Soil Water Content with Ground Penetrating Radar: A Decade of Progress

2. Estimating water content of unsaturated sandy soils by GPR during a drainage experiment

3. Prediction of Size of Buried Objects using Ground Penetrating Radar and Machine Learning Techniques

4. A machine learning scheme for estimating the diameter of reinforcing bars using ground penetrating radar;giannakis;IEEE Geoscience and Remote Sensing Letters,2020

5. Performance investigation of patch and bow-tie antennas for ground penetrating radar applications

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