Design of Intelligent Grain Drying Units: IoT, Digital Twin and Intelligent Control

The paper addresses accurate prediction of corn moisture content in continuous grain drying using deep learning models. The proposed approach significantly reduces prediction error compared with conventional empirical models under industrial dryer operating conditions.

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