The United Nations aims to reduce global food waste by 50% by 2030 (SDG12). Approximately 13% of our food is lost before it reaches the stores (FAO, 2023). Germany and the Netherlands have developed national strategies to reduce food waste, including in the grain-flour chain where 10% of losses occur (in Germany, 820,000 tons of grain per year). The causes include time-consuming quality controls and a shortage of personnel. More efficient and less labor-intensive measurement methods are needed to address this.
Project GRaiNNOVATE launches the SMS4Grain (Smart Multi-sensor System for Grain): a sustainable and precise method to quickly assess grain quality. This device combines integrated photonics with AI to measure key grain quality indicators such as germination, falling number, protein and gluten content, and moisture more efficiently than before. This makes laboratory tests accessible to all stakeholders in the chain.
Current measurement methods require multiple devices and specialized personnel, with measurements taking a total of 45-60 minutes. The SMS4Grain combines the measurements of all key quality indicators into one device, with a single measurement of 9 minutes. Additionally, it can measure germination within this time, which currently takes 4 to 8 days. This increases efficiency and saves time in quality controls throughout the chain.
Europe alone has 3,800 flour producers, mainly in Germany, along with many intermediaries and producers. Software adjustments enable the device to be used in other sectors, presenting significant potential. The project consortium aims to make the SMS4Grain device market-ready within 30 months, ensuring a solid foundation for continuity and employment in the region. This public-private partnership also promotes innovation and knowledge in AI, photonics, and chain collaboration within the agrifood sector.
