Cargando…
Machine Learning Models for Enhanced Estimation of Soil Moisture Using Wideband Radar Sensor
In this paper, machine learning models for an effective estimation of soil moisture content using a microwave short-range and wideband radar sensor are proposed. The soil moisture is measured as the volumetric water content using a short-range off-the-shelf radar sensor operating at 3–10 GHz. The ra...
Autores principales: | Uthayakumar, Akileshwaran, Mohan, Manoj Prabhakar, Khoo, Eng Huat, Jimeno, Joe, Siyal, Mohammed Yakoob, Karim, Muhammad Faeyz |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370892/ https://www.ncbi.nlm.nih.gov/pubmed/35957366 http://dx.doi.org/10.3390/s22155810 |
Ejemplares similares
-
mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning
por: Iyer, Srikrishna, et al.
Publicado: (2022) -
Soil Moisture Profile Effect on Radar Signal Measurement
por: Le Morvan, Aurélie, et al.
Publicado: (2008) -
Time-domain ultra-wideband radar, sensor and components: theory, analysis and design
por: Nguyen, Cam, et al.
Publicado: (2014) -
Analysis and Implementation of Controlled Semiconductor Switch for Ultra-Wideband Radar Sensor Applications
por: Jurik, Patrik, et al.
Publicado: (2023) -
Temporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR)
por: Wagner, Wolfgang, et al.
Publicado: (2008)