A community repository and forum for discussion of published works on tools and techniques for plant phenotyping – the objective measurement of structural and functional properties of plants
Editor Tony P. Pridmore
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey (2020)
Vineeth N Balasubramanian, Wei Guo, Akshay L Chandra, Sai Vikas Desai
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.