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United States Department of Agriculture

Agricultural Research Service

Research Project: IMPROVED SENSING SYSTEMS FOR GRAIN QUALITY MEASUREMENT AND STORAGE
2012 Annual Report


1a.Objectives (from AD-416):
The objectives of this cooperative research are to.
1)develop grain quality measurement methods to enable sorting for particular attributes of single seeds using near- and mid- infrared spectroscopy and.
2)develop improved grain storage monitoring methods through the innovative use of carbon dioxide (CO2), relative (RH) humidity and temperature (T) sensing systems.


1b.Approach (from AD-416):
For the first objective, grain quality measurement methods using near- and mid-infrared reflectance spectroscopy (NIRS, MIRS) and other non-destructive methods will be developed to segregate single kernels based attributes such as protein, oil and starch. The focus will be to develop accurate and rapid methods (5 -10 kernels/sec) to measure basic seed composition or more subtle characteristics such as oil composition. The second objective will investigate the condition and effects of storage mold development during grain storage. This work will provide a better understanding and interpretation of CO2-RH-T measurements inside commercial grain storage. These systems are currently being introduced as commercial systems but there is a lack of understanding in data interpretation. Iowa State will facilitate trial installations of this equipment at commercial grain facilities.


3.Progress Report:

Single seed NRS calibrations were developed for soybean protein and oil. These calibrations were used for measurement of soybean lines provided by University of Kentucky in 2012. Different instruments were examined for their ability to predict composition and to discriminate between conventional and glyphosate tolerant soybeans. Two manuscripts were written and submitted based on this work as outlined below.

Measurement of single soybean seed attributes by Near Infrared technologies. A comparative study. To be submitted to Journal of Agricultural and Food Chemistry. Lidia Esteve Agelet, Paul R. Armstrong Ignacio Romagosa Clariana, Charles R. Hurburgh Jr. Discrimination of Conventional and Glyphosate Tolerant Soybean Seeds. Transmittance vs Reflectance Measurements and Moisture Effect. To be submitted to Journal of Near-Infrared Spectroscopy Lidia Esteve Agelet, Glen R. Rippke, Paul R. Armstrong, Jasper G. Tallada, Charles R. Hurburgh, Jr.


Last Modified: 12/20/2014
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