Siebsortierung von Getreide mit Hilfe der quantitativen Bildanalyse

Sieve grading of cereal kernels by means of quantitative image analysis In former investigations several possibilities to apply computerized quantitative image analysis (CQJA) in the field of crop science have been reported. In the present studies applicability of this technique have been tested to accurately determine sieve grading of barley kernels. Accordingly, CQJA seems to be appropriate for measuring and processing digitalized image information of the respective length and thickness of grain kernels both, at high velocity and precision, and it can be done at any classification of kernel sizes. Contamination of the cereals by broken grain and/or other non‐grain material can be discriminated by integrating threshold levels of minimum and maximum diameters respectively. It is argued that major advantages of the proposed automated CQJA‐equipment could be (1) control of sieve grading and calibration processes of seeds and (2) sieve grading of the kernels of individual ears for breeding purposes.