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Cited by 382

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

Open access
Virlet, Nicolas, Sabermanesh, Kasra, Sadeghi-Tehran, Pouria, Hawkesford, Malcolm J.·2016·Functional Plant Biology

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.

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Registry

Crossref · 10.1071/fp16163

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Metadata

Authors
Virlet, N., Sabermanesh, K., Sadeghi-Tehran, P., & Hawkesford, M. J.
Venue
Functional Plant Biology
Published
2016-11-02
Volume
44
Issue
1
Pages
143-153
ISSN
  • 1445-4408 (ISSN-L)
  • 1445-4416
OpenAlex
W2518417964
Cited by
382
References
30
FWCI
27.83
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.