Paper
13 April 2018 Computer vision system: a tool for evaluating the quality of wheat in a grain tank
Uryi Igorevish Minkin, Aleksei Vladimirovich Panchenko, Aleksandr Yurievich Shkanaev, Ivan Andreevich Konovalenko, Dmitry Nikolaevich Putintsev, Rinat Nailevish Sadekov
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106961Q (2018) https://doi.org/10.1117/12.2310100
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uryi Igorevish Minkin, Aleksei Vladimirovich Panchenko, Aleksandr Yurievich Shkanaev, Ivan Andreevich Konovalenko, Dmitry Nikolaevich Putintsev, and Rinat Nailevish Sadekov "Computer vision system: a tool for evaluating the quality of wheat in a grain tank", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961Q (13 April 2018); https://doi.org/10.1117/12.2310100
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Cited by 1 scholarly publication.
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KEYWORDS
Computing systems

Photography

Sensors

Prototyping

Computer vision technology

Machine vision

Agriculture

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