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Computer vision system: a tool for evaluating the quality of wheat in a grain tank
Author(s): Uryi Igorevish Minkin; Aleksei Vladimirovich Panchenko; Aleksandr Yurievich Shkanaev; Ivan Andreevich Konovalenko; Dmitry Nikolaevich Putintsev; Rinat Nailevish Sadekov
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Paper Abstract

The paper describes a technology that allows for automatizing the process of evaluating the grain quality in a grain tank of a combine harvester. Special recognition algorithm analyzes photographic images taken by the camera, and that provides automatic estimates of the total mass fraction of broken grains and the presence of non-grains. The paper also presents the operating details of the tank prototype as well as it defines the accuracy of the algorithms designed.

Paper Details

Date Published: 13 April 2018
PDF: 7 pages
Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961Q (13 April 2018); doi: 10.1117/12.2310100
Show Author Affiliations
Uryi Igorevish Minkin, JSC Cognitive (Russian Federation)
Aleksei Vladimirovich Panchenko, JSC Cognitive (Russian Federation)
Aleksandr Yurievich Shkanaev, JSC Cognitive (Russian Federation)
Ivan Andreevich Konovalenko, JSC Cognitive (Russian Federation)
Dmitry Nikolaevich Putintsev, Institute for Systems Analysis (Russian Federation)
Rinat Nailevish Sadekov, Institute of Engineering Physics (Russian Federation)


Published in SPIE Proceedings Vol. 10696:
Tenth International Conference on Machine Vision (ICMV 2017)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev; Jianhong Zhou, Editor(s)

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