ASSESSMENT OF METROLOGICAL ERRORS OF RECOGNITION METRICS IN THE INTELLIGENT CONTROL AND REGULATION SYSTEM OF THE COTTON HARVESTING MACHINE
Chemical Technology, Control and Management, Vol: 2024, Issue: 3, Page: 13-19
2024
- 55Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage55
- Downloads34
- Abstract Views21
Article Description
This article presents a method for assessing the error of metrics of an intelligent system for monitoring and regulating the width of the working gap of the harvesting apparatus of a cotton picker. To assess the error, the calculation of the average value of the standard deviation of metrics, absolute systematic and random errors, as well as absolute and relative total errors are used. The results of these calculations will allow us to determine the accuracy of the recognition system and opportunities for its improvement.
Bibliographic Details
Tashkent State Technical University named after Islam Karimov - DIGITAL COMMONS JOURNALS
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