GrainSense Advances Grain Quality Analysis with Breakthrough Algorithm Update
GrainSense team announces a major revision to its chemometric prediction algorithm. The new mathematical framework is currently available in GrainSense’s laboratory product, the GS Lab. The new prediction method makes the GS Lab even more powerful, improving significantly the measurement consistency and precision.
Dr. Kari Jänkälä, Chief Technology Officer at GrainSense, shared insights into the update and its significance for users: “This is our most advanced and mathematically complex prediction framework to date, developed since 2022. The method draws from recent developments in the field of neural networks without being a neural network in the traditional sense. Its mathematical structure closely resembles one, offering similar benefits such as nonlinearity and nonparametric behaviour, but with added improvements from statistics and without the need for very large training datasets, while still delivering high performance.”
The new model refines the way the GrainSense instruments interpret complex near-infrared spectral data. According to Dr. Jänkälä, the updated algorithm is especially effective in cases, where high-resolution differentiation is needed for quality grading or scientific research. “We have applied modern statistical machine learning techniques that allow the algorithm to better adapt to variations in grain types, growth conditions, and sample quality. The previous algorithm already met high standards for accuracy, but this new version pushes performance even further. Depending on the species being observed, users can expect 20% to 50% smaller standard deviations compared to the previous prediction algorithm.”. The new model is currently applied in the calibrations of wheat, barley, maize, soybean, durum, and soybean meal. The remaining species rapeseed, oats and rye will be updated later this year.
Coming soon to GS Silo and GS Combine products.
While the GS Lab has benefitted first, the algorithm update will be extended to the other flagship products, the Silo and Combine later this autumn. The rollout will be delivered automatically to all connected Silo and Combine devices, requiring no manual action from users.
Supporting the Future of Smart Farming
This update arrives at a critical time for agriculture, where data-driven decisions are key to improving sustainability, profitability, and food security. GrainSense remains committed to ongoing development in both hardware and software, with more updates expected in the coming year.
