First results from a millimeter-wave soil moisture-content measurement

2011 ◽  
Author(s):  
Alon Eliran ◽  
Naftaly Goldshleger ◽  
Asher Yahalom ◽  
Eyal Ben-dor ◽  
Menachem Agassi
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Millimeter Wave ◽  
Soil Moisture Content ◽  
Content Measurement ◽  
First Results ◽  
Moisture Content Measurement

scholarly journals Soil moisture content measurement using optical fiber long period gratings

2017 ◽  
Author(s):  
J. S. Hallett ◽  
M. Partridge ◽  
S. W. James ◽  
D. Tiwari ◽  
T. Farewell ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Optical Fiber ◽  
Soil Moisture Content ◽  
Long Period ◽  
Content Measurement ◽  
Long Period Gratings ◽  
Moisture Content Measurement

scholarly journals Comparison of soil moisture content measurement between Internet of Things (IoT) and traditional methods

2021 ◽  
Vol 309 ◽  
pp. 01191
Author(s):  
Swetha Guduru ◽  
K Radhika ◽  
Chandana Sukesh ◽  
P Srilakshmi
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Moisture Content ◽  
Water Content ◽  
Soil Moisture Content ◽  
Sieve Analysis ◽  
Traditional Methods ◽  
Content Measurement ◽  
Wide Range ◽  
Moisture Content Measurement

Soil is a composition of Sand, Silt and Clay. From three phase concept, it is clear that the soil consists of solids, water and air. The ratio of weight of water to weight of solids for a given soil mass is known as water content of soil. In other words, the water content (w) also known as natural water content or natural moisture content. Water content is used in a wide range of scientific and technical areas, and is expressed as a ratio, which can range from zero to the value of the soil porosity at saturation. Traditionally, the water content is measured by pycnometer or oven dry methods which would generally take 24 hours to determine the water content soil. As the time is important these days, several smart advances are occurred in determining the moisture content through Internet of Things (IoT). In this project, the water content of soil is measured through IoT sensors and traditional methods. Present work involves in which different soil samples are taken along the road construction site and classifying them with the help of sieve analysis, Atterberg limits and plasticity chart and moisture content measurement using internet of things (IoT) and traditional methods are compared. Also, find a possible correlation developed between the soil moisture content by traditional methods and through IoT.

scholarly journals Sensitivity of PR2 Capacitance Soil Moisture Meter for Irrigation Scheduling

2021 ◽  
Vol 1 (3) ◽  
pp. 1-5
Author(s):  
Olotu Y.* ◽  
◽  
Omoakhalen A.I. ◽  
Ososomi A.S. ◽  
Gbalaja Mayowa ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Organic Soil ◽  
Integrated Water Resources Management ◽  
Irrigation Scheduling ◽  
Computer Algorithms ◽  
Resources Management ◽  
Moisture Content Measurement ◽  
Complex Computer

Accurate soil moisture content measurement is essential for designing a robust irrigation scheduling and integrated water resources management (I.W.R.M.). Capacitance-based sensors have widely been used to monitor soil moisture at different measuring depths coupled with continuous and instantaneous outputs. This study's objective was to evaluate the PR2 capacitance moisture meter's performance on mineral and organic soil water content. The outputs of PR2 in m3 /m3 and vol.% were compared with gravimetrically measured soil moisture. The R.M.S.E. measurement at Site A at the first and second replicates increased from 0.49% to 0.67%. In contrast, the r2 value of 0.99 was obtained for the two replications when comparing the soil moisture content observed from gravimetric measurement and the automated outputs from the PR2 Probe soil monitor. The R.M.S.E. values were 0.48%, and 1.32% were estimated for the first and second replications at Site B. The result indicates that the PR2 Profile Probe could be a reliable alternative to other time-consuming, complex computer algorithms for accurate point measurement of soil moisture.

scholarly journals Sensitivity of PR2 Capacitance Soil Moisture Meter for Irrigation Scheduling

2021 ◽  
pp. 1-5
Author(s):  
Olotu Y. ◽  
◽  
Omoakhalen A.I. ◽  
Ososomi A.S. ◽  
Gbalaja Mayowa ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Organic Soil ◽  
Integrated Water Resources Management ◽  
Irrigation Scheduling ◽  
Computer Algorithms ◽  
Resources Management ◽  
Moisture Content Measurement ◽  
Complex Computer

Accurate soil moisture content measurement is essential for designing a robust irrigation scheduling and integrated water resources management (I.W.R.M.). Capacitance-based sensors have widely been used to monitor soil moisture at different measuring depths coupled with continuous and instantaneous outputs. This study’s objective was to evaluate the PR2 capacitance moisture meter’s performance on mineral and organic soil water content. The outputs of PR2 in m3/m3 and vol.% were compared with gravimetrically measured soil moisture. The R.M.S.E. measurement at Site A at the first and second replicates increased from 0.49% to 0.67%. In contrast, the r2 value of 0.99 was obtained for the two replications when comparing the soil moisture content observed from gravimetric measurement and the automated outputs from the PR2 Probe soil monitor. The R.M.S.E. values were 0.48%, and 1.32% were estimated for the first and second replications at Site B. The result indicates that the PR2 Profile Probe could be a reliable alternative to other time-consuming, complex computer algorithms for accurate point measurement of soil moisture.

First results from a millimetre-wave measurement of soil moisture content

2012 ◽  
Vol 3 (7) ◽  
pp. 639-645 ◽  
Author(s):  
Alon Eliran ◽  
Naftaly Goldshleger ◽  
Asher Yahalom ◽  
Menachem Agassi ◽  
Eyal Ben-dor
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Millimetre Wave ◽  
Wave Measurement ◽  
First Results
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