Within the FF4EuroHPC experiment, DigitalSmart Montenegro, together with DunavNET, University of Donja Gorica, Radinovic Company, and Meso-promet Franca, used HPC and AI to develop ML prediction models for computer vision that can be ported on Edge AI and integrated into Smart agriculture systems for poultry farms.
The smart agriculture solution developed within this experiment could boost the productivity of poultry farms by potentially reducing both manual labor costs and chicken mortality rates by about 10% each. This is accomplished because assessing the weight of chickens in real-time increases the uniformity of the finished product and reduces the impact of stress on both the chickens and manual labor. Furthermore, real-time insight into poultry barns allows for improving disease management due to early detection.
HPC provided the technology organisations DigitalSmart Montenegro and DunavNET needed to develop smart agriculture solutions quickly and efficiently using machine learning and computer vision, in this case for the needs of the poultry industry. The computer kit has become a part of the PoultryNET platform offering, and there is an opportunity to sell such components to third-party vendors active in the market of smart agriculture solutions.
