DOI: 10.31274/rtd-180813-5683
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Effect of corn variety, mechanical damage, and drying temperature on electronic moisture meters

Abstract: 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… Show more

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Cited by 4 publications
(4 citation statements)
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“…^mo ~ total variance between meter and oven Vy = variance among years. The V^ and V^ data were the individual sample variances among replicates of all brands and years combined, the 15 V^^ (3 meters x 5 years) data points for each moisture increment were obtained by rearrangement of equation [1] within each year and meter model. The variances of meter errors (meterminus-oven) yielded three values of V^^ per increment.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…^mo ~ total variance between meter and oven Vy = variance among years. The V^ and V^ data were the individual sample variances among replicates of all brands and years combined, the 15 V^^ (3 meters x 5 years) data points for each moisture increment were obtained by rearrangement of equation [1] within each year and meter model. The variances of meter errors (meterminus-oven) yielded three values of V^^ per increment.…”
Section: Methodsmentioning
confidence: 99%
“…Modern moisture meters measure dielectric properties and convert them to percentage moisture. Many corn properties affect its dielectric characteristics, among them temperature, bulk density, physical condition, variety (Nelson, 1984;Hemeda et al, 1982;Nelson, 1981), as well as some large and as yet unidentified factors (Hurburgh et al, 1985). Modern meters correct for temrperature and density; the other factors contribute to measurement variability.…”
Section: Introductionmentioning
confidence: 99%
“…A nedvességmérési eredményekre jelentősen hat a mintában lévő törött szemek aránya is. E hatás kiküszöbölése érdekében a mérendő mintából, megfelelő szabványos szitával, el kell távolítani a törött szemeket (Hemeda et al 1982, Federal Grain Inspection Service 1997.…”
Section: Beltartalomunclassified
“…Ezt a jelenséget az angol nyelvű irodalomban "rebound"-hatásnak nevezik (Friesen et al 1988). A nedvesség kiegyenlítődés miatt jelentkező számított nedvességtartalom különbség egyes magoknál néhány nedvességszázalék is lehet (Funk 2001 (Hemeda et al 1982, Sokhansanj et al 1988. (Funk et al 1996, Funk 1997 (Montross et al 1999).…”
Section: áBra Inhomogén Nedvességeloszlás Magon Belül Kapacitív Mérőunclassified