Applications of hyperspectral imaging in plant phenotyping

Rijad Sarić; Viet D Nguyen; Timothy Burge; Oliver Berkowitz; Martin Trtílek; James Whelan; Mathew G Lewsey; Edhem Čustović

doi:10.1016/j.tplants.2021.12.003

Applications of hyperspectral imaging in plant phenotyping

Trends Plant Sci. 2022 Mar;27(3):301-315. doi: 10.1016/j.tplants.2021.12.003. Epub 2022 Jan 5.

Authors

Rijad Sarić¹, Viet D Nguyen¹, Timothy Burge², Oliver Berkowitz³, Martin Trtílek⁴, James Whelan⁵, Mathew G Lewsey³, Edhem Čustović⁶

Affiliations

¹ Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.
² Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.
³ Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia.
⁴ Photon Systems Instruments plant phenotyping research centre, Photon System Instruments, 664 24 Drasov, Brno, Czech Republic.
⁵ Department of Animal, Plant and Soil Science, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia; Australian Research Council Research Hub for Medicinal Agriculture, AgriBio Building, La Trobe University, Bundoora, VIC 3086, Australia. Electronic address: j.whelan@latrobe.edu.au.
⁶ Department of Engineering, School of Engineering and Mathematical Sciences, La Trobe University, Bundoora, VIC 3086, Australia.

PMID: 34998690
DOI: 10.1016/j.tplants.2021.12.003

Abstract

Our ability to interrogate and manipulate the genome far exceeds our capacity to measure the effects of genetic changes on plant traits. Much effort has been made recently by the plant science research community to address this imbalance. The responses of plants to environmental conditions can now be defined using a variety of imaging approaches. Hyperspectral imaging (HSI) has emerged as a promising approach to measure traits using a wide range of wavebands simultaneously in 3D to capture information in lab, glasshouse, or field settings. HSI has been applied to define abiotic, biotic, and quality traits for optimisation of crop management.

Keywords: hyperspectral imaging; noninvasive imaging; plant phenotyping; traits.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Hyperspectral Imaging*
Phenotype
Plants* / genetics