When people hear that I am completing my doctorate in agricultural and biological engineering at UF, they often assume my work is confined to farmland, crop yields and tractors.
When people hear that I am completing my doctorate in agricultural and biological engineering at UF, they often assume my work is confined to farmland, crop yields and tractors. But applying advanced AI to agriculture requires solving some of the most complex computing challenges in existence — challenges that directly impact how technology interacts with the real world.
In everyday life, computers usually see the world as flat, two-dimensional photos, but our physical environment is three-dimensional, unpredictable and constantly changing. The goal of my research is to bridge that gap — to teach AI not just to look at an image, but to truly understand depth, spatial layout and physical objects in three dimensions.
Under Dr. Won Suk Lee’s guidance at UF, I learned to approach research from first principles. Rather than focusing only on a particular crop, sensor or application, I was encouraged to identify the fundamental technical challenge, understand the assumptions behind different methods and develop solutions that could generalize beyond one specific problem.
Read More at: University of Florida
