Artificial perception

Development of methods for diverse purposes: weed detection, crop diseases, etc

Fleets of heterogeneous autonomous robots

Development of autonomous agricultural robots for different purposes: inspection, pesticide treatment, harvesting assistance, etc

Harvesting assistance

Design of robots that follow operators during harvesting, carrying the harvest

Pesticide treatment

Creation of selective and precise treatment application solutions for crops

3D reconstruction

Use of RGB-D cameras, LiDARs, and traditional cameras aboard vehicles to generate 3D reconstruction of crops

Quantum artificial intelligence

Implementation of solutions based on Quantum Machine Learning (QML)

The Artificial Perception Group (GPA) is a pioneer and European leader in the development of, among others, solutions based on AI and intelligent robotics for Precision Agriculture. Its research addresses the integration of knowledge, methods and systems to design and implement all the processes involved in the optimal resolution of complex problems. The group is usually involved in European projects and is always looking for new growth opportunities. Their main research lines are: 1) Artificial perception; 2) Fleets of heterogeneous autonomous robots; 3) Harvesting assistance; 4) Pesticide treatment; 5) 3D reconstruction; 6) Quantum artificial intelligence