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United States Department of Agriculture

Agricultural Research Service

Research Project: OBJECTIVE GRADING AND END-USE PROPERTY ASSESSMENT OF SINGLE KERNELS AND BULK GRAIN SAMPLES

Location: Engineering and Wind Erosion Research Unit

Title: High-speed sorting of grains by color and surface texture

Author
item Pearson, Thomas

Submitted to: Applied Engineering in Agriculture
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: February 1, 2010
Publication Date: May 1, 2010
Repository URL: http://naldc.nal.usda.gov/download/46077/PDF
Citation: Pearson, T.C. 2010. High-Speed Sorting of Grains by Color and Surface Texture. Applied Engineering in Agriculture. 26(3):499-505.

Interpretive Summary: A low cost, high-speed device was developed to inspect and separate a variety of grains based on color and surface texture. The device was tested on its ability to separate brown and yellow flax seeds, barley from durum, and red from white wheat. All accuracies were greater than 92% in one pass through the sorter, which is considerably higher than what can be accomplished with commercial color sorters. Throughput of the machine is approximately 25Kg/hr for wheat. The sorter uses a specially designed camera linked to a processor to accomplish high seed throughputs, accuracy, and low cost. The machine should find applications with seed breeders and suppliers to purify larger breeding lines. Several machines might also be run in parallel to keep up with some food processing lines.

Technical Abstract: A high-speed, low-cost, image-based sorting device was developed to detect and separate grains with different colors/textures. The device directly combines a complementary metal–oxide–semiconductor (CMOS) color image sensor with a field-programmable gate array (FPGA) that was programmed to execute image processing in real-time without the need for an external computer. The spatial resolution of the imaging system is approximately 16 pixels/mm. The system utilizes the inherent parallel processing capabilities of FPGA’s to inspect three separate streams of grain with a single camera/FPGA combination. Kernels are imaged immediately after dropping off the end of a chute and are diverted by activating an air valve. The system has a throughput rate of approximately 225 kernels/s overall, which is much higher than previously developed image inspection systems. This throughput rate corresponds to an inspection rate of approximately 25 kg/hr of wheat. Testing of the system resulted in accuracies of 96% for separating red wheat from white wheat, 93% accuracy for separating barley from durum, and 92% for separating brown flax from yellow flax. The sorter should find use in removing other defects found in grain, such as scab-damaged and bunted wheat. Parts for the system cost less than $2,000, so it may be economical to run several systems in parallel to keep up with processing plant rates.

Last Modified: 8/2/2014
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