Non-invasive soil moisture sensing based on open-ended waveguide and multivariate analysis

2017 ◽  
Vol 265 ◽  
pp. 236-245 ◽  
Author(s):  
G. Luciani ◽  
A. Berardinelli ◽  
M. Crescentini ◽  
A. Romani ◽  
M. Tartagni ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Soil Moisture ◽  
Non Invasive ◽  
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.

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

scholarly journals Interaction of Bioactive Mono-Terpenes with Egg Yolk on Ice Cream Physicochemical Properties

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1686
Author(s):  
Mostafa Gouda ◽  
Long Sheng ◽  
Rana Muhammad Aadil ◽  
Yuanyuan Liu ◽  
Meihu Ma ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Water Distribution ◽  
Structural Characteristics ◽  
Viscosity Index ◽  
Control Sample ◽  
Ice Cream ◽  
Egg Yolk ◽  
Control Treatment ◽  
Non Invasive ◽  
Magnetic Resonance Imaging Mri

Using natural multi-function phytochemicals could be one of the best solutions for clean-label production. In this study, dairy ice creams were prepared containing 14% egg yolk and 0.1% of thymol (THY), trans-cinnamaldehyde (TC), menthol (MEN), or vanillin (VAN). Then, the physical, chemical, and structural characteristics were evaluated. Magnetic resonance imaging (MRI) analysis (a rapid, chemical-free, and non-invasive tool) was carried out to evaluate the water distribution. A multivariate analysis was conducted among all studied variables. According to the results, the overrun of the MEN ice cream was significantly increased as compared to the control sample. The density was also reduced in the MEN sample. Meanwhile, the spreadability (%) of VAN was significantly increased after 6 min as compared to the control treatment. MRI analysis revealed that water distribution was significantly changed in the THY group. The firmness and viscosity of THY samples were significantly increased (p < 0.05). Multivariate analysis indicated that viscosity index and consistency were the top parameters affected by THY. The authors concluded that THY and VAN are promising stabilizers for ice-cream clean production.

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

&lt;p&gt;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.&amp;#160;&amp;#160;&lt;/p&gt;

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

P4545ACUTE HF score: a new multi-parametric score for the prognostication of acute heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
G E Mandoli ◽  
G De Carli ◽  
M C Pastore ◽  
L Rizzo ◽  
C Nannelli ◽  
...  
Keyword(s):  
Heart Failure ◽  
Multivariate Analysis ◽  
Acute Heart Failure ◽  
Prognostic Score ◽  
Univariate Analysis ◽  
Left Ventricular ◽  
Non Invasive ◽  
Blood Tests ◽  
Icu Stay ◽  
Previous Stroke

Abstract Background Prognosis of patients with acute heart failure (AHF) and different etiologies remains a challenging issue for the Cardiologist. Purpose We aimed to evaluate clinical and echocardiographic indexes and blood tests values of patients admitted to Intensive Care Unit (ICU) for AHF to test their capability to predict events at short-, medium- and long-term follow-up. Methods We retrospectively enrolled 830 patients who entered the ICU of our third-level hospital between 2010 and 2013 for AHF. Exclusion criteria included: active malignances, heart transplantation, patients with left ventricular assist device. We evaluated in each subject: cause of admission, medical history, chest congestion severity at admission, blood tests, echocardiographic parameters and administered drugs during in-hospital stay. Primary endpoints included: mortality rate at 30 days, 6 months and 5 years after dismission, days of ICU stay and cardiology ward stay. Indexes with statistical significance at univariate analysis, were then tested by multivariate analysis. Results The study population (average age 72.2±13 y) had an ejection fraction (EF) 36±12% at ICU admission. Best predictors of prognosis in the populations, after multivariate analysis, resulted to be: renal failure, EF, age, mitral regurgitation (MR) more than mild, use of non-invasive ventilation support during ICU stay, previous stroke or transient ischemic attack (TIA). With these indexes, we created a multi-parametric prognostic score composed by: 0.7*[age >76 years] + 1.4*[plasmatic creatinine >2mg/dl] + 0.8*[non-invasive mechanical ventilation] + 0.9*[previous stroke/TIA] + 0.8*[EF <30%] + + 0.7*[previous hospitalization for AHF] + 0.5*[moderate/severe MR]. According to the score, we stratified the population in 3 tertiles with increasing mortality risk: low if <1.5, medium if 1.5–3, high risk if >3 (Figure 1). At ROC curve analysis, the score showed a greater prognostic accuracy than each parameter (30 days AUC 0.75, 6 months AUC 0.78, 5 years AUC 0.79). Figure 1 Conclusions A combined clinical, humoral and echocardiographic score could represent a new tool in the prognostication of patients with AHF since the admission in ICU.

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