Performance of Electronic Moisture Meters in Corn

Hurburgh, Charles R.; Hazen, Thamon E.

doi:10.1080/07373938308959816

Cited by 7 publications

(3 citation statements)

References 26 publications

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“…(V™o/ni)'''<0.5 [1] where: ^mo ~ overall meter-to-oven variance n. = number of samples per increment For trade-type meters in corn: V^^ = 0.016486 M^2 _ 0.57931 M^ + 5.339 [2] where: M" = oven moisture content, % Based on the data of Bern and Hurburgh (1981), equation [2] was doubled to estimate variability of farmtype meters. Substitution into equation [1] and solution for n^ yielded 7 to 28 corn samples per 2-point increment up to 28% moisture.…”

Section: Statistical Design and Analysismentioning

confidence: 99%

“…research (Hurburgh et al, 1985; were included. Only one unit of trade-type meters was included because previous research showed no significant variation among factory-adjusted trade-type meters of the same brand and model (Hurburgh et al, 1980). The trade meters were included not to duplicate previous research but to provide a comparison on the same sample set.…”

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confidence: 99%

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Performance of Farm-Type Moisture Meters

Hurburgh¹,

Paynter²,

Schmitt³

et al. 1986

Transactions of the ASAE

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Three farm-type moisture meters (Dickey-john DJMC, Dole 400-B, and Electrex DMT-2)* were compared to USDA-approved oven methods on 225 corn samples (10.4%-33.8% moisturet) and 96 soybean samples (8.0%-16.6% moisture) from the 1984 crop. In corn, the DJMC read ±0.5 percentage point of the oven up to 27% moisture. The 400-B read ±0.5 percentage point of the oven up to 28% moisture. The DMT-2 read equivalent to the oven at 11% moisture, but read progressively lower than the oven as moisture increased. At 25% corn moisture, DMT-2 read 4.4 percentage points less than the oven. In soybeans, DJMC tested a relatively constant 0.52 percentage points higher than the oven, 400-B read ±0.25 points, and DMT-2 varied linearly from 1.2 points high at 10% moisture to 1.5 point low at 17% moisture. Calibration correction equations are given for all three meters. Variability (with respect to the oven) of the farm-type meters increased as corn moisture increased, with an average coefficient of variation (CV) of 4.2%. Three trade-type meters, included for reference purposes, had an average CV of 2.4% on the same samples. In soybeans, variability was not a function of moisture content; the farm and trade meters had standard deviations relative to the oven of 0.37 and 0.26 points respectively. The major share of variability originated from sample-tosample variations in electrical properties, followed by differences among individual units of the same brand then variations among replicate meter tests and oven tests on a sample. Disciplines

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Section: Statistical Design and Analysismentioning

confidence: 99%

mentioning

confidence: 99%

Performance of Farm-Type Moisture Meters

Hurburgh¹,

Paynter²,

Schmitt³

et al. 1986

Transactions of the ASAE

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“…exhibited random variability about the oven readings.Preliminary investigation byHurburgh et al (1980) showed that corn variety may have some effect on the elec tronic moisture meter variability. In a follow-up study,Hurburgh et al (1981) used moisture meter-oven comparisons on 881 corn samples to quantify random variations and identi fy their sources.…”

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Effect of corn variety, mechanical damage, and drying temperature on electronic moisture meters

Hemeda

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LITERATURE REVIEW 3 Direct Methods 3 Oven methods 4 Distillation methods 11 Chemical methods 12 Indirect (Rapid) Methods 13 Thermal conductivity methods 14 Gas pressure method 14 Nuclear methods 15 Electrical resistance method 15 Dielectric (capacitance) methods 18 OBJECTIVE 47 RESEARCH PROCEDURE AND EXPERIMENTATION 48 Statistical Procedure 48 Scope of variables 48 Analysis of data Experimental design Sample Collection Test Equipment Electronic moisture meters Air oven Stein breakage tester •Grain driefs Grain damage meter Carter Dockage tester Test weight Mettler balance

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