Advances in camera technology and artificial intelligence are transforming how we can observe plant development, enabling the development of more productive crop varieties. Monica’s research combines multidimensional datasets (describing the plant traits and environment) and train deep learning models for early yield prediction of crops, preliminary selection of crop varieties under field trial, and distinguishing visually similar plant species for weed detection. Monica has also used explainable AI tools to investigate the factors affecting the deep learning model performance, contributing valuable insights for future deployment of these models as automated decision-support tools.