Computer Vision and Artificial Intelligence

Computer Vision and Artificial Intelligence

Our team is at the forefront of integrating machine learning and computer vision into precision agriculture. Our research focuses on developing autonomous agricultural systems, including equipment automation for planting and identification. By leveraging AI, we aim to enhance farm productivity, sustainability, and efficiency. Our work includes the creation of intelligent systems capable of environmental perception and decision-making, optimizing agricultural processes through data-driven insights. This interdisciplinary approach not only advances the field of precision agriculture but also contributes to sustainable farming practices worldwide.

Involved students