Approaches to three-dimensional reconstruction of plant shoot topology and geometry
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 agricult...
| Main Authors: | , , , , , |
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| Format: | Article |
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CSIRO Publishing
2016
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| Online Access: | https://eprints.nottingham.ac.uk/35852/ |
| _version_ | 1848795175990591488 |
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| author | Gibbs, Jonathon Pound, Michael P. French, Andrew P. Wells, Darren M. Murchie, Erik H. Pridmore, Tony P. |
| author_facet | Gibbs, Jonathon Pound, Michael P. French, Andrew P. Wells, Darren M. Murchie, Erik H. Pridmore, Tony P. |
| author_sort | Gibbs, Jonathon |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:27:55Z |
| format | Article |
| id | nottingham-35852 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:27:55Z |
| publishDate | 2016 |
| publisher | CSIRO Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-358522020-05-04T17:59:37Z https://eprints.nottingham.ac.uk/35852/ Approaches to three-dimensional reconstruction of plant shoot topology and geometry Gibbs, Jonathon Pound, Michael P. French, Andrew P. Wells, Darren M. Murchie, Erik H. Pridmore, Tony P. 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. CSIRO Publishing 2016-07-26 Article PeerReviewed Gibbs, Jonathon, Pound, Michael P., French, Andrew P., Wells, Darren M., Murchie, Erik H. and Pridmore, Tony P. (2016) Approaches to three-dimensional reconstruction of plant shoot topology and geometry. Functional Plant Biology . ISSN 1445-4408 image-based plant modelling reconstruction three-dimensional http://www.publish.csiro.au/FP/FP16167 doi:/10.1071/FP16167 doi:/10.1071/FP16167 |
| spellingShingle | image-based plant modelling reconstruction three-dimensional Gibbs, Jonathon Pound, Michael P. French, Andrew P. Wells, Darren M. Murchie, Erik H. Pridmore, Tony P. Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title | Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title_full | Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title_fullStr | Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title_full_unstemmed | Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title_short | Approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| title_sort | approaches to three-dimensional reconstruction of plant shoot topology and geometry |
| topic | image-based plant modelling reconstruction three-dimensional |
| url | https://eprints.nottingham.ac.uk/35852/ https://eprints.nottingham.ac.uk/35852/ https://eprints.nottingham.ac.uk/35852/ |