Open AccessPossibilities of Digital Control and Classification of Grain Crops
Author(s) -
Dmitrii E. Troshkin,
Aleksandr N. Chertov,
Elena V. Gorbunova,
Andrei Alyokhin
Publication year - 2020
Publication title -
proceedings of the 30th international conference on computer graphics and machine vision (graphicon 2020) part 1
Language(s) - English
Resource type - Journals
ISSN - 2618-8317
DOI - 10.51130/graphicon-2020-1-131-143
Subject(s) - control (management) , quality (philosophy) , agricultural engineering , digital image analysis , grain quality , computer science , artificial intelligence , agronomy , computer vision , engineering , biology , philosophy , epistemology
The article presents the research results on determining the quality parameters of wheat and malting barley by computer vision, confirming the possibility of switching from subjective visual analysis to digital control.
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