scholarly journals Design and Development of Automatic and Remotely Controlled Plant Watering and Soil Moisture Sensing System

2017 ◽  
Vol 6 (1) ◽  
pp. 2435-2443
Keyword(s):  
Soil Moisture ◽  
Design And Development ◽  
Sensing System ◽  
Moisture Sensing

Smart Multi-Level Soil Moisture Sensing System

2021 ◽  
Author(s):  
Warisara Sriphanthaboot ◽  
Treetep Saengow ◽  
Kasama Kamonkusonman ◽  
Minthorn Phunthawornwong ◽  
Pongpith Simmanee ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Sensing System ◽  
Multi Level ◽  
Moisture Sensing

Irrigation Automation with a Soil Moisture Sensing System

1980 ◽  
Vol 23 (3) ◽  
pp. 0649-0652 ◽  
Author(s):  
Hollis Shull ◽  
A. S. Dylla
Keyword(s):  
Soil Moisture ◽  
Sensing System ◽  
Moisture Sensing

scholarly journals A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6147
Author(s):  
Leonardo Franceschelli ◽  
Annachiara Berardinelli ◽  
Marco Crescentini ◽  
Eleonora Iaccheri ◽  
Marco Tartagni ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Electronic Circuit ◽  
Silty Clay ◽  
Non Invasive ◽  
Fast Estimation ◽  
Sensing System ◽  
Real Environment ◽  
Loam Soil ◽  
Rapid Moisture ◽  
Moisture Sensing

This paper will show the electronic architecture of a portable and non-invasive soil moisture system based on an open rectangular waveguide. The spectral information, measured in the range of 1.5–2.7 GHz, is elaborated on by an embedded predictive model, based on a partial least squares (PLS) regression tool, for the estimation of the soil moisture (%) in a real environment. The proposed system is composed of a waveguide, containing Tx and Rx antennas, and an electronic circuit driven by a microcontroller (MCU). It will be shown how the system provides a useful and fast estimation of moisture on a silty clay loam soil characterized by a moisture range of about 9% to 32% and a soil temperature ranging from about 8 °C and 18 °C. Using the PLS approach, the moisture content can be predicted with an R2 value of 0.892, a root mean square error (RMSE) of 1.0%, and a residual prediction deviation (RPD) of 4.3. The results prove that it is possible to make accurate and rapid moisture assessments without the use of invasive electrodes, as currently employed by state-of-the-art approaches.

The CIMR mission and its unique capabilities for soil moisture sensing

2021 ◽  
Author(s):  
Maria Piles ◽  
Roberto Fernandez-Moran ◽  
Luis Gómez-Chova ◽  
Gustau Camps-Valls ◽  
Dara Entekhabi ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Land Surface ◽  
Spatial Scales ◽  
Microwave Radiometer ◽  
Critical Time ◽  
Global Scale ◽  
The Arctic ◽  
Temporal Perspective ◽  
Microwave Radiometers ◽  
Moisture Sensing

<p>The Copernicus Imaging Microwave Radiometer (CIMR) mission is currently being developed as a High Priority Copernicus Mission to support the Integrated European Policy for the Arctic. Due to its measurement characteristics, CIMR has exciting capabilities to enable a unique set of land surface products and science applications at a global scale. These characteristics go beyond what previous microwave radiometers (e.g. AMSR series, SMAP and SMOS) provide, and therefore allow for entirely new approaches to the estimation of bio-geophysical products from brightness temperature observations. Most notably, CIMR channels (L-,C-,X-,Ka-,Ku-bands) are very well fit for the simultaneous retrieval of soil moisture and vegetation properties, like biomass and moisture of different plant components such as leaves, stems or trunks. Also, the distinct spatial resolution of each frequency band allows for the development of approaches to cascade information and obtain these properties at multiple spatial scales. From a temporal perspective, CIMR has a higher revisit time than previous L-band missions dedicated to soil moisture monitoring (about 1 day global, sub-daily at the poles). This improved temporal resolution could allow resolving critical time scales of water processes, which is relevant to better model and understand land-atmosphere exchanges and feedbacks. In this presentation, new opportunities for soil moisture remote sensing made possible by the CIMR mission, as well as synergies and cross-sensor opportunities will be discussed.  </p>

3D soil moisture sensing and imaging

2015 ◽  
pp. 17-26
Author(s):  
I. Gravalos ◽  
A. Georgiadis ◽  
D. Kateris ◽  
O. Haralampous ◽  
T. Gialamas ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Sensing
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