Fokusområde: Artificiell intelligens och smart avkänning
Related research topics
AI, machine vision, and sensor data are the research tools we use to analyze agriculture, predict risks, and enable data-driven decisions. The technology streamlines crop and livestock farming, increases productivity, and reduces risks.
Our research projects integrate AI, machine vision and signal processing techniques, utilizing data analytics and machine learning algorithms to monitor and manage agricultural sectors. We also implement AI-powered data analytics to analyse large quantities of data and predict performance, allowing farmers to make informed decisions and assess potential risks in both crop and livestock farming. By analyzing historical and real time data (e.g., ground based sensors, satellite imagery and drones, cameras) we deploy machine learning models and smart sensing techniques to observe farm conditions, predict future patterns, and suggest farm-based solutions. This approach enhances the efficiency of farming practices, improves productivity, and helps mitigate risks in both crop and livestock management.