Deep Learning for early detection and classification of crop disease and stress

This project will utilise deep learning for the detection, identification, and evaluation of crop stress factors using a variety of available remote sensing data. This will reduce the need to manually examine crops for visible indicators of stress or disease, enable earlier detection, and provide information regarding the causes of crop stress.