Open AccessAutomation of agrotechnical assessment of cotton harvesting machines
Author(s) -
Anvar Abdazimov,
S. S. Radjabov,
N N Omonov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1260/3/032001
Subject(s) - automation , agricultural machinery , software , computer science , combine harvester , agricultural engineering , quality (philosophy) , agriculture , reliability engineering , engineering , operating system , mechanical engineering , ecology , philosophy , epistemology , biology
The method of rapid evaluation of agrotechnical indices of cotton harvesting machines, based on computer processing of digital images of cotton row before and after machine harvesting, is proposed in the paper. The algorithms and software to solve the problem of assessing the quality of cotton harvester performance and to determine the indices of the agricultural background of the cotton field, based on the analysis of the plot images taken from different angles, are presented. The application of the proposed technique allows significant reduction of time and money to test the machines, rapid evaluation of their performance directly during the tests. The software and hardware developed can be used in test automation, in automatic systems for monitoring and controlling the technological processes and modes of operation of agricultural machinery, in particular, cotton harvesting machines.