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Stored Grain pack factor measurements for soybeans, grain sorghum, oats, barley, and wheat

  • R. Bhadra
  • , M. E. Casada
  • , A. P. Turner
  • , M. D. Montross
  • , S. A. Thompson
  • , S. G. McNeill
  • , R. G. Maghirang
  • , J. M. Boac

Producción científica: Articlerevisión exhaustiva

12 Citas (Scopus)

Resumen

Grain and oilseed crops stored in bins undergo compaction due to overbearing pressure of the grain inside the structure. Thus, volume measurements of grain in bins need to be combined with the amount of packing (usually called pack factor) in addition to the initial density so that the mass in the structure can be calculated. Multiple pack factor prediction methods are in use in the grain industry, but they have only been validated in the literature and compared with field data for corn and hard red winter wheat. Predictions from WPACKING, the program in ASABE Standard EP413.2, and two standard USDA methods, the USDA Risk Management Agency (RMA) and USDA Farm Service Agency-Warehouse Licensing and Examination Division (FSA-W) methods, were compared to field measurements of 92 bins containing soybeans, grain sorghum, oats, barley, or soft white or durum wheat. The WPACKING predictions had the lowest absolute average error of predicted mass for soybeans, grain sorghum, barley, and wheat, while the FSA-W method had the lowest error for oats. The RMA method gave the largest prediction errors for all five crops and struggled especially with the low-density, high-compaction crops oats and barley, giving average percent absolute errors near or above 10% in both cases. Overall, WPACKING, the RMA method, and the FSA-W method had average percent absolute errors of 2.09%, 5.65%, and 3.62%, respectively, for the 92 bins. These results can be used to improve pack factor predictions for the grain industry.

Idioma originalEnglish
Páginas (desde-hasta)747-757
Número de páginas11
PublicaciónTransactions of the ASABE
Volumen61
N.º2
DOI
EstadoPublished - 2018

Nota bibliográfica

Publisher Copyright:
© 2018 American Society of Agricultural and Biological Engineers.

Financiación

The research was supported by the USDA (CRIS No. 5430-43440-008-00D) and by the Kansas Agricultural Experiment Station (Contribution No. 18-360-J). The assistance provided by Dr. Dennis Tilley (USDA-ARS CGAHR), Kevin Hamm (KSU), Chris Weston (USDA-ARS CGAHR), and Howell Gonzales (KSU) in conducting the field tests is highly appreciated. We want to thank Dalton Henry (Kansas Wheat Commission), Dr. Tom Herald (USDA-ARS CGAHR), Brian Linin and Richard Bauman (Frontier Ag, Inc.), Dr. Danny Rogers, (KSU), Greg Mclure (Riley County Extension Office), Mike Schulte (Oklahoma Wheat Commission), Ben Boerner (Texas Grain & Feed Association), Ned Bergman and Steve Becker (Farm Service Agency), and Dr. Charles R. Hurburgh Jr. (Iowa State University), and others for assistance in locating cooperators. We also would like to thank our elevator cooperators: Joey Meibergen and Montie Walton (W.B. Johnston Terminal Elevator), Joshua Dechant (Frontier Ag, Inc.); Lindsey Bowers and Steven Craig (United Agricultural Cooperative, Inc.), and Gary Holcomb and Dave Hoffman of (Sunray Coop). Additional thanks are due to Ned Bergman (USDA-FSA Warehouse Licensing and Examination Division, Kansas City Commodity Office) and Tim Oyler (USDA-RMA Product Administration and Standards Division) for providing information on the history and current application of pack factor methods. The research was supported by the USDA (CRIS No. 5430-43440-008-00D) and by the Kansas Agricultural Experiment Station (Contribution No. 18-360-J).

FinanciadoresNúmero del financiador
U.S. Department of Agriculture
U.S. Department of Agriculture5430-43440-008-00D
U.S. Department of Agriculture
Alabama Agricultural Experiment Station18-360-J
Alabama Agricultural Experiment Station

    ASJC Scopus subject areas

    • Forestry
    • Food Science
    • Biomedical Engineering
    • Agronomy and Crop Science
    • Soil Science

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