A - Papers appearing in refereed journals
Virlet, N., Sabermanesh, K., Sadeghi-Tehran, P. and Hawkesford, M. J. 2016. Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring. Functional Plant Biology. 44 (1), pp. 143-153. https://doi.org/10.1071/FP16163
Authors | Virlet, N., Sabermanesh, K., Sadeghi-Tehran, P. and Hawkesford, M. J. |
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Abstract | Current approaches to field phenotyping are laborious or permit the use of only a few sensors at a time. In an effort to overcome this, a fully automated robotic field phenotyping platform with a dedicated sensor array that may be accurately positioned in three dimensions and mounted on fixed rails has been established, to facilitate continual and high-throughput monitoring of crop performance. Employed sensors comprise of high-resolution visible, chlorophyll fluorescence and thermal infrared cameras, two hyperspectral imagers and dual 3D laser scanners. The sensor array facilitates specific growth measurements and identification of key growth stages with dense temporal and spectral resolution. Together, this platform produces a detailed description of canopy development across the crops entire lifecycle, with a high-degree of accuracy and reproducibility. |
Keywords | data processing; computer vision; field scanalyzer; nitrogen; phenomics; scanalyzer |
Year of Publication | 2016 |
Journal | Functional Plant Biology |
Journal citation | 44 (1), pp. 143-153 |
Digital Object Identifier (DOI) | https://doi.org/10.1071/FP16163 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | Wheat |
[20:20 Wheat] Maximising yield potential of wheat | |
Publisher's version | |
Output status | Published |
Publication dates | |
Online | 02 Nov 2016 |
Publication process dates | |
Accepted | 02 Sep 2016 |
Copyright license | CC BY |
Publisher | CSIRO Publishing |
ISSN | 1445-4408 |
Permalink - https://repository.rothamsted.ac.uk/item/8v276/field-scanalyzer-an-automated-robotic-eld-phenotyping-platform-for-detailed-crop-monitoring