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Case study AI in agriculture

Dema-Construct develops innovative machines for the efficient storage of potatoes, with a focus on precision and reliability. In collaboration with Vintecc, which integrates advanced AI solutions, the technology is tested under the most demanding conditions. This joint innovation is supported by VLAIO.

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Dema-Construct responds to the growing demand for automation in agriculture with the development of an innovative sorting machine for loading and unloading potatoes. This machine automatically removes clods, stones, and other unwanted elements from the product.

Together with Vintecc, a sophisticated vision system is employed, controlling the sorting process via pneumatic technology. A self-learning AI dynamically adapts to varying environmental factors — such as soil type and weather conditions — to ensure consistently high sorting quality.

"Marc actively contributes to refining your innovation — both strategically and substantively."

Glenn Asaert, Vintecc & Dries Descamps, DEMA-Construct

The sorting machine is designed for reliability and broad applicability on the farm. Farmers can rely on consistent operation, regardless of variations in the incoming product or external conditions. The ultimate goal is to make potato storage more efficient, reduce dependence on manual labor, and ensure lasting product quality.

By extensively testing the machine's performance in various real-world situations, the system is fine-tuned and tailored to field conditions. Farmers are also provided with a methodology to evaluate the machine’s performance in their own environment.

This intensive collaboration between Dema-Construct, Vintecc, and iOmega resulted in a compelling innovation proposal.