|
Click on “Download PDF” for the PDF version or on the title for the HTML version. If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options. SIZE GRADING OF CORN KERNELS WITH MACHINE VISIONPublished by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org Citation: Applied Engineering in Agriculture. 14(5): 567-571. (doi: 10.13031/2013.19408) @1998Authors: B. Ni, M. R. Paulsen, J. F. Reid Keywords: Machine vision, Corn, Grading, Seed corn, Sieves, Maize, Inspection An electronic corn kernel size grading system was developed using machine vision. Measurements of kernel length, width, and projected area were obtained independent of kernel orientation. The performance of the size-grading algorithm was compared to the results of mechanical sieving using a precision round-hole seed sizer. Average accuracy from 73.8% to 90.3% was achieved on seed corn samples that were pre-sized using precision graders. (Download PDF) (Export to EndNotes)
|
Authors, please use the Guide for Authors when creating your articles.
Public Access Information
= Public Access (PA)
= PA Limited Time
= Open Access
= Contact Us For Purchase