ARTIFICIAL NEURAL NETWORK BASED GRAIN MOISTURE MEASURING DEVICE

Authors

Erkin Eljaev, Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan.
Shohrux Nurali o‘g‘li Narzullayev, Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: narzullayevsh1993@mail.ru, Phone: +998909021716;Follow
Elyor Faxriddinovich Khudoyberdiev, Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan.

Abstract

To date, the intellectualization of solving technical issues in managing, controlling, and measuring technological processes in all branches of industrial production is considered an urgent task. In this regard, a class of intelligent devices and sensors has emerged. Intelligent devices and sensors differ from their analog counterparts in that they have functions such as automatic adjustment of the measurement range, self-calibration, data processing, and decision-making. The article discusses the development of intelligent measuring instruments based on a capacitive transducer for measuring the moisture content of grain and grain products.

First Page

59

Last Page

65

References

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Recommended Citation

Eljaev, Erkin; Narzullayev, Shohrux Nurali o‘g‘li; and Khudoyberdiev, Elyor Faxriddinovich (2024) "ARTIFICIAL NEURAL NETWORK BASED GRAIN MOISTURE MEASURING DEVICE," Chemical Technology, Control and Management: Vol. 2024: Iss. 2, Article 9.
DOI: https://doi.org/10.59048/2181-1105.1554