Machine Vision for the Automatic Measurement of Broken Grain Fraction 1

Autor:	H. Georg, N. Guth, F.-J. Bockisch
Rok vydání:	1995
Předmět:	Engineering Threshing Fast evaluation Kernel (image processing) business.industry Machine vision Digital image processing Computer vision Artificial intelligence business Combine harvester Machine vision system
Zdroj:	IFAC Proceedings Volumes. 28:139-142
ISSN:	1474-6670
Popis:	An automatic measuring system for whole and broken kernels was developed. A digital image processing system was chosen as a sensor in combination with a computer controlled kernel positioning device. The machine vision system separated 6000 kernels per hour. Trial series with grain samples collected from different prototypes of combine harvesters are described. The machine vision system had a classification accuracy of 95.8 % for broken kernels. In the future it should be taken into consideration to use a modified machine vision system as a tool for a fast evaluation of the threshing equipment of combine harvesters.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d2963c45e30170cc919eb979f4d038e7 https://doi.org/10.1016/s1474-6670(17)47174-6 Zobrazit plný text záznamu