  In light of growing challenges in agriculture with ever growing food demand
across the world, efficient crop management techniques are necessary to
increase crop yield. Precision agriculture techniques allow the stakeholders to
make effective and customized crop management decisions based on data gathered
from monitoring crop environments. Plant phenotyping techniques play a major
role in accurate crop monitoring. Advancements in deep learning have made
previously difficult phenotyping tasks possible. This survey aims to introduce
the reader to the state of the art research in deep plant phenotyping.
