scholarly journals An improved sensor for precision detection of in situ stem water content using a frequency domain fringing capacitor

2014 ◽  
Vol 206 (1) ◽  
pp. 471-481 ◽  
Author(s):  
Haiyang Zhou ◽  
Yurui Sun ◽  
Melvin T. Tyree ◽  
Wenyi Sheng ◽  
Qiang Cheng ◽  
...  
Keyword(s):  
Water Content ◽  
Frequency Domain ◽  
Stem Water

In-situ and non-invasive measurement of stem water content of trees using an innovative interdigitated-electrodes dielectric sensor less susceptible to stem diameter variation

2021 ◽  
Vol 307 ◽  
pp. 108473
Author(s):  
Xianglin Cheng ◽  
Xiaofei Yan ◽  
David A. Grantz ◽  
Yang Xiang ◽  
Ricardo F. de Oliveira ◽  
...  
Keyword(s):  
Water Content ◽  
Stem Diameter ◽  
Interdigitated Electrodes ◽  
Non Invasive ◽  
Diameter Variation ◽  
Dielectric Sensor ◽  
Stem Water ◽  
Invasive Measurement

In situ measurement of stem water content and diurnal storage of an apricot tree with a high frequency inner fringing dielectric sensor

2018 ◽  
Vol 250-251 ◽  
pp. 35-46 ◽  
Author(s):  
H. Zhou ◽  
Y. Sun ◽  
G. Shan ◽  
D.A. Grantz ◽  
Q. Cheng ◽  
...  
Keyword(s):  
Water Content ◽  
High Frequency ◽  
In Situ Measurement ◽  
Dielectric Sensor ◽  
Stem Water ◽  
Apricot Tree

scholarly journals A Novel Sensor for In Situ Detection of Freeze-Thaw Characteristics in Plants from Stem Temperature and Water Content Measurements

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Chao Gao ◽  
Hao Tian ◽  
Yandong Zhao
Keyword(s):  
Water Content ◽  
Volumetric Water Content ◽  
Measuring Circuit ◽  
Constant Current ◽  
Freeze Thaw ◽  
Stem Temperature ◽  
Plant Stem ◽  
Stem Water ◽  
In Situ Detection

Freezing is a typical abiotic stress on plants, which can induce physiological damages of plants. A better understanding of plant freeze-thaw characteristics contributes to solving some hot issues in plant physiology, such as cold resistance and cold acclimation. This article presents a novel sensor for in situ detection of freeze-thaw characteristics in plants based on stem temperature and water content. The measuring circuit of stem temperature was designed based on constant current source and platinum resistance. The measuring circuit of stem water content was designed based on standing wave ratio and the dielectric properties of stem tissue. The temperature resolution of the compound sensor is less than 0.1°C. The MAE and RMSE of temperature measurement are approximately 0.57°C and 0.65°C, respectively. The volumetric water content resolution of the compound sensor is less than 0.05%. The MAE and RMSE of volumetric water content measurement are approximately 1.59% and 1.81%, respectively. Moreover, a mathematical model for describing the freeze-thaw characteristics of plant stem was established and solved based on the compound sensor. Then, some freeze-thaw indicators including stem water content, ice content, freezing depth, freezing velocity, thawing depth, and thawing velocity were solved and used to interpret the freeze-thaw rules of plant stem. It can be concluded that the freeze-thaw velocity is closely related to the physicochemical properties of plant stem which also change dynamically in the freeze-thaw cycle.

scholarly journals A Novel Sensor for Noninvasive Detection of In Situ Stem Water Content Based on Standing Wave Ratio

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Chao Gao ◽  
Yue Zhao ◽  
Yandong Zhao
Keyword(s):  
Water Content ◽  
Standing Wave ◽  
Noninvasive Detection ◽  
Water Volume ◽  
Average Error ◽  
Physiological Parameter ◽  
Measuring Range ◽  
Measuring Accuracy ◽  
Stem Water

Stem water content (StWC = volume of water : volume of stem) is an important physiological parameter for vascular plants. And a better understanding of StWC contributes to solving some research hotspots in forestry, such as drought resistance, cold resistance, precise irrigation, and health assessment. However, there are few noninvasive, in situ, real-time, safe, and low-cost methods for detecting StWC of woody plants. This article presents a novel sensor for noninvasive detection of in situ StWC based on standing wave ratio. Moreover, extensive experiments were conducted to analyze the performance of this sensor including sensitive distance, measuring range, influence factors, and measuring accuracy. The experimental results show that the sensitive distance of StWC sensor is approximately 53 mm in axial direction and 20 mm in radial direction with the measuring range from 0.01 to 1.00 cm3 cm-3. The combined effects of stem EC and temperature on sensor output are significant and it is necessary to correct the error caused by the two factors. Compared with the oven-drying method, StWC sensor has higher measuring accuracy than Testo 606-2 which is a sensor for measuring wood water content and its average error is less than 0.01 cm3 cm-3. In addition, StWC sensor performed very well on the crape myrtle with high sensitivity equal to 1022.1 mV (cm3 cm-3)-1 and measuring results also accorded with the diurnal dynamics of stem water content.

Time and frequency domain reflectometry for the measurement of tree stem water content: A review, evaluation, and future perspectives

2021 ◽  
Vol 306 ◽  
pp. 108442
Author(s):  
Hailong He ◽  
Neil C. Turner ◽  
Kailin Aogu ◽  
Miles Dyck ◽  
Hao Feng ◽  
...  
Keyword(s):  
Water Content ◽  
Frequency Domain ◽  
Future Perspectives ◽  
Frequency Domain Reflectometry ◽  
Stem Water ◽  
Tree Stem

Discriminant pedological factors of in situ specific moisture and available water content of African soils

Agronomie ◽  
2004 ◽  
Vol 24 (2) ◽  
pp. 57-66 ◽  
Author(s):  
Serge Valet ◽  
Pascal Allemand
Keyword(s):  
Water Content ◽  
Available Water ◽  
Available Water Content

Detection of Plant Water Content with Needle-Type In-Situ Water Content Sensor

2010 ◽  
Vol 130 (9) ◽  
pp. 452-453
Author(s):  
Hitoshi Katayanagi ◽  
Norihisa Miki
Keyword(s):  
Water Content ◽  
Plant Water ◽  
Needle Type

An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar

2021 ◽  
pp. 1-15
Author(s):  
Xinbo Liu ◽  
Li Guo ◽  
Xihong Cui ◽  
John R. Butnor ◽  
Elizabeth W. Boyer ◽  
...  
Keyword(s):  
Water Content ◽  
Ground Penetrating Radar ◽  
Automatic Processing ◽  
Ground Penetrating ◽  
Processing Framework

scholarly journals Methodology: non-invasive monitoring system based on standing wave ratio for detecting water content variations in plants

Plant Methods ◽  
2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Yunjeong Yang ◽  
Ji Eun Kim ◽  
Hak Jin Song ◽  
Eun Bin Lee ◽  
Yong-Keun Choi ◽  
...  
Keyword(s):  
Water Content ◽  
Monitoring System ◽  
Standing Wave ◽  
Magnetic Particles ◽  
Experimental Plant ◽  
Invasive Monitoring ◽  
Monitoring Method ◽  
Non Invasive ◽  
Content Variation ◽  
Stem Water

Abstract Background Water content variation during plant growth is one of the most important monitoring parameters in plant studies. Conventional parameters (such as dry weight) are unreliable; thus, the development of rapid, accurate methods that will allow the monitoring of water content variation in live plants is necessary. In this study, we aimed to develop a non-invasive, radiofrequency-based monitoring system to rapidly and accurately detect water content variation in live plants. The changes in standing wave ratio (SWR) caused by the presence of stem water and magnetic particles in the stem water flow were used as the basis of plant monitoring systems. Results The SWR of a coil probe was used to develop a non-invasive monitoring system to detect water content variation in live plants. When water was added to the live experimental plants with or without illumination under drought conditions, noticeable SWR changes at various frequencies were observed. When a fixed frequency (1.611 GHz) was applied to a single experimental plant (Radermachera sinica), a more comprehensive monitoring, such as water content variation within the plant and the effect of illumination on water content, was achieved. Conclusions Our study demonstrated that the SWR of a coil probe could be used as a real-time, non-invasive, non-destructive parameter for detecting water content variation and practical vital activity in live plants. Our non-invasive monitoring method based on SWR may also be applied to various plant studies.

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