Maqola

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

Annotatsiya

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.

Mavzular

Advanced Measurement and Metrology Techniques Sensor Technology and Measurement Systems Advanced Sensor Technologies Research

Identifikatorlar

DOI: 10.59048/2181-1105.1554

Iqtiboslar va manbalar

1 ta iqtibos 9 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar · Tez orada