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Calibrating capacitance sensors to e...

Arguedas Rodriguez, Felix Ruben.

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Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates./
Author:	Arguedas Rodriguez, Felix Ruben.
Description:	137 p.
Notes:	Source: Masters Abstracts International, Volume: 48-06, page: 3477.
Contained By:	Masters Abstracts International48-06.
Subject:	Agriculture, Horticulture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1478116
ISBN:	9781124075464

Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates.
Arguedas Rodriguez, Felix Ruben.

Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates. - 137 p.

Source: Masters Abstracts International, Volume: 48-06, page: 3477.

Thesis (M.S.)--University of Maryland, College Park, 2009.

The nursery and greenhouse industry requires precise methods to schedule irrigations, since current practices are subjective and contribute to water and nutrient runoff. Capacitance sensors were calibrated to precisely estimate substrate water content, matric potential, and pore water electrical conductivity (EC) in five soilless substrates. Regression coefficients (R2) ranged from 0.29--0.88 and 0.16--0.79 for water content in 5-cm and 20-cm column heights; matric potential R2 ranged from 0.10--0.98 and 0.79--0.98, respectively. Pore water EC calibrations were investigated, contrasting two sensor types and two prediction models. Results were applied to an empirical greenhouse dataset. Better precision and accuracy were achieved with ECH2O-TE sensor and Rhoades model. Capacitance sensors provide precise estimates of plant-available water in most soilless substrates, while pore water EC accuracy and precision depends on the sensor-model combination. These results will enable growers to precisely schedule irrigations based on water content and pore water EC.

ISBN: 9781124075464Subjects--Topical Terms:

1017832
Agriculture, Horticulture.

Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates.
LDR:02124nam 2200313 4500 001 1398207
005 20110907152408.5
008 130515s2009 ||||||||||||||||| ||eng d
020 $a 9781124075464
035 $a (UMI)AAI1478116
035 $a AAI1478116
040 $a UMI $c UMI
100 1 $a Arguedas Rodriguez, Felix Ruben. $3 1677087
245 1 0 $a Calibrating capacitance sensors to estimate water content, matric potential, and electrical conductivity in soilless substrates.
300 $a 137 p.
500 $a Source: Masters Abstracts International, Volume: 48-06, page: 3477.
500 $a Adviser: John D. Lea-Cox.
502 $a Thesis (M.S.)--University of Maryland, College Park, 2009.
520 $a The nursery and greenhouse industry requires precise methods to schedule irrigations, since current practices are subjective and contribute to water and nutrient runoff. Capacitance sensors were calibrated to precisely estimate substrate water content, matric potential, and pore water electrical conductivity (EC) in five soilless substrates. Regression coefficients (R2) ranged from 0.29--0.88 and 0.16--0.79 for water content in 5-cm and 20-cm column heights; matric potential R2 ranged from 0.10--0.98 and 0.79--0.98, respectively. Pore water EC calibrations were investigated, contrasting two sensor types and two prediction models. Results were applied to an empirical greenhouse dataset. Better precision and accuracy were achieved with ECH2O-TE sensor and Rhoades model. Capacitance sensors provide precise estimates of plant-available water in most soilless substrates, while pore water EC accuracy and precision depends on the sensor-model combination. These results will enable growers to precisely schedule irrigations based on water content and pore water EC.
590 $a School code: 0117.
650 4 $a Agriculture, Horticulture. $3 1017832
650 4 $a Agriculture, Plant Culture. $3 1018669
650 4 $a Agriculture, Soil Science. $3 1017824
690 $a 0471
690 $a 0479
690 $a 0481
710 2 $a University of Maryland, College Park. $b Natural Resource Sciences. $3 1030344
773 0 $t Masters Abstracts International $g 48-06.
790 1 0 $a Lea-Cox, John D., $e advisor
790 1 0 $a Ristvey, Andrew G. $e committee member
790 1 0 $a Ross, David S. $e committee member
790 $a 0117
791 $a M.S.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1478116