ARTIFICIAL NEURAL NETWORK BASED GRAIN MOISTURE MEASURING DEVICE
Erkin EljaevTashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of UzbekistanShohrux Nurali o‘g‘li NarzullayevTashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998909021716;Elyor Faxriddinovich KhudoyberdievTashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan
Himičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Managementjournal2024en
ABI
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.
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