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Sign upAugust 1, 2022
Athenian Brewery S.A.
Stefanovikeio
To address climate-driven grain crop degradation, energy waste, and fumigation overuse, Athenian Brewery partnered with Centaur to digitize its malting barley storage. Centaur’s Internet-of-Crops® platform deployed real-time sensor networks, digital twins, and AI-powered analytics to maintain barley germination to 98%, cut pest control chemicals through precision fumigation, and optimize aeration and cooling energy. The solution delivered sustainability gains, quality traceability, and compliance – enabling the Heineken-affiliated brewer to meet top standards while reducing waste and emissions. A proven model for post-harvest digital transformation in food and beverage supply chains.
Centaur preserved malting-grade quality in barley stored over 12 months, preventing 30–50% value loss from deterioration—typically downgraded to animal feed. This protected €80–120/ton in grain value. Precision aeration and fumigation cut energy and chemical use by up to 30%, saving ~50 tons CO₂eq annually per silo (about 10 silos comprised the program). Combined, these delivered payback in under 12 months and significant sustainability gains for the Heineken-affiliated brewery.
Centaur builds a software and sensor-based platform to transform today's grain & cereal bulk supply chain into a trusted, end-to-end, post-harvest quality chain. With its monitoring solution, Centaur offers visibility, quality control, traceability and sustainability along all stages of the supply chain. This is achieved by automatically creating a digital simulation (a "digital twin") of the conditions both inside and outside the grain storage. To achieve this, the Internet-of-Crops platform pulls in all available digital information such as weather and climate data on outside conditions, plus internal conditions identified by sensors (e.g. gas profiles, temperature, moisture levels) and inputs all of this into a state-of-the-art digital model of how grain performs when subject to any and all of these conditions. The result is a state of the art prediction tool of likely problems, allowing remedial action in advance.
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