The Agro Optics and Sensing Laboratory is an electro-optics research lab focused on the development of advanced sensing systems.
Sensing is a crucial tool for monitoring processes and enabling informed decision-making.
In agricultural and environmental contexts, sensing presents unique challenges: lighting conditions change constantly, and the environment itself can significantly affect sensor performance and measurement accuracy. Additionally, there is substantial variability in the geometric and optical properties of the measured objects. These factors create instability that makes it difficult to acquire reliable and consistent data—critical for effective decision-making.
Research in the lab focuses on the complex interplay between the sensor, the object, and the environment. We develop innovative optical systems and integrate physical models into the data processing pipeline to enable accurate sensing in dynamic and challenging environmental conditions.
Our methodology combines physical modeling with approaches for solving inverse problems, including the development of Physically Aware Convolutional Neural Networks, to reconstruct reliable and meaningful information from sensor data.
