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2023: Testing an AI based process control for grain dryer automation
The aim of the demonstration project is to build a compact artificial intelligence-based grain drying process control solution that can be integrated with existing grain dryers and provide machine-generated data to create a control and decision capability for managing grain dryer processes. The needs and methods of drying different cereals (wheat, oats, rye, barley) and other agricultural products requiring drying (peas, beans, buckwheat, etc.) are different. In the framework of this demonstration project, the aim is to focus mainly on the drying of oats.
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