Russian Agroholding Deploys AI to Preserve Millions of Tons of Feed
A new real-time system monitors silage compaction and eliminates human error, helping preserve the nutritional value of feed and cut losses.
The agroholding “Kamsky Bekon” is introducing ML Sense, a digital platform developed by Russian company Nord Clan. The technology will be used at one of its livestock complexes to oversee silage and haylage preparation.
Previously, the quality of compaction was assessed visually by employees. This method was subjective and failed to guarantee uniform processing. Now, sensors mounted on tractors and bulldozers transmit data about every movement. The platform’s algorithms analyze trajectories and determine with 98% accuracy how many times each section has been covered.
Drivers can view interactive maps on tablets highlighting areas that were insufficiently processed. Managers receive consolidated heat maps of the entire trench. This enables instant corrections to the process. All data flow into a central monitoring hub in real time.
The system not only saves money by minimizing spoilage of raw materials but also improves the predictability of the entire production cycle. For a fundamental industry like feed production, this innovation directly affects the quality and volume of end products—meat on store shelves.
