Project

Plant architecture measurements from incomplete 3-dimensional multispectral sensor data in fruit crops

Apply deep learning based methods to obtain phenotypic measurements from 3D sensor data. Main challenge is variation in growing conditions, trait expression and the complex structure of fruit crops, resulting in occlusions in the data.