We offer expertise in artificial intelligence and computer vision that can help transform the agri-food industry. By applying these technologies in innovative ways, we have the potential to make significant strides toward more sustainable energy use and production. With the right partners who share our vision and ambition, we can make real progress in addressing one of the world's most pressing challenges.
We are seeking partners who are leaders in their fields - those with proven track records of delivering impactful solutions through collaboration. Together, we can develop the next generation of technologies that optimize agricultural processes, reduce food waste, and maximize the yield of renewable energy sources like solar and wind. Our combined knowledge and resources will allow us to test new ideas at scale and commercialize the most promising solutions.
Most importantly, we want partners who are passionate about making a difference. Those who see the opportunity to not just create new technologies, but to build a more sustainable and resilient food system for future generations. Partners who understand that the challenge is complex and will require out-of-the-box thinking combined with a relentless drive towards progress.
If this matches your own vision and ambitions, we invite you to join us in writing the next chapter of innovation for the agri-food industry. Together, we can prove that transformative change is possible when smart, passionate people come together and apply their expertise for good. The need has never been greater, and the opportunity has never been clearer. Let's work together to make sustainable energy production and use a reality across the agricultural value chain.

The University of Udine is a public university located in Udine, Italy. Founded in 1978, it has about 27,000 students and 1,700 faculty members. The university offers undergraduate and graduate degree programs across a wide range of subjects, including sciences, engineering, humanities, social sciences, and economics.
Within the university, the Machine Learning and Perception lab is focused on research related to machine learning, computer vision, and artificial intelligence. The lab conducts research on topics like deep learning for video surveillance, food understanding, reinforcement learning for video tracking, and image retrieval among others. The overall goal of the lab's research is to advance the state-of-the-art in machine learning and artificial intelligence.
The lab is well-equipped with the necessary infrastructure to test machine learning and computer vision solutions.