How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques

Abstract

Computer vision technology is moving more and more towards a three-dimensional approach, and plant phenotyping is following this trend. However, despite its potential, the complexity of the analysis of 3D representations has been the main bottleneck hindering the wider deployment of 3D plant phenotyping. In this review we provide an overview of typical steps for the processing and analysis of 3D representations of plants, to offer potential users of 3D phenotyping a first gateway into its application, and to stimulate its further development. We focus on plant phenotyping applications where the goal is to measure characteristics of single plants or crop canopies on a small scale in research settings, as opposed to large scale crop monitoring in the field.

Code and data availability

This is a review article surveying 3D plant phenotyping techniques; it presents no original measurements, datasets, images, or analysis code of its own. The authors explicitly state 'Availibility of data and materials: Not applicable.' All datasets and figures mentioned (e.g., Pheno4D, cited studies) belong to prior,-c

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