Approaches to three-dimensional reconstruction of plant shoot topology and geometry
Jonathon A. Gibbs A C , Michael Pound A , Andrew P. French A , Darren M. Wells B , Erik Murchie B and Tony Pridmore A
+ Author Affiliations
- Author Affiliations
A School of Computer Science, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK.
B School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, Leicestershire, LE12 5RD, UK.
C Corresponding author. Email: psxjg6@nottingham.ac.uk
Functional Plant Biology 44(1) 62-75 https://doi.org/10.1071/FP16167
Submitted: 4 May 2016 Accepted: 23 July 2016 Published: 26 August 2016
Abstract
There are currently 805 million people classified as chronically undernourished, and yet the World’s population is still increasing. At the same time, global warming is causing more frequent and severe flooding and drought, thus destroying crops and reducing the amount of land available for agriculture. Recent studies show that without crop climate adaption, crop productivity will deteriorate. With access to 3D models of real plants it is possible to acquire detailed morphological and gross developmental data that can be used to study their ecophysiology, leading to an increase in crop yield and stability across hostile and changing environments. Here we review approaches to the reconstruction of 3D models of plant shoots from image data, consider current applications in plant and crop science, and identify remaining challenges. We conclude that although phenotyping is receiving an increasing amount of attention – particularly from computer vision researchers – and numerous vision approaches have been proposed, it still remains a highly interactive process. An automated system capable of producing 3D models of plants would significantly aid phenotyping practice, increasing accuracy and repeatability of measurements.
Additional keywords: image-based, plant modelling, reconstruction, three-dimensional.
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