Applications of hyperspectral imaging in plant phenotyping

被引：95

作者：

Saric, Rijad ^{[1
,2
]}

Nguyen, Viet D. ^{[1
,2
]}

Burge, Timothy ^{[3
]}

Berkowitz, Oliver ^{[1
,3
]}

Trtilek, Martin ^{[4
]}

Whelan, James ^{[1
,3
]}

Lewsey, Mathew G. ^{[1
,3
]}

Custovic, Edhem ^{[2
]}

机构：

[1] La Trobe Univ, Dept Anim Plant & Soil Sci, AgriBio Bldg, Bundoora, Vic 3086, Australia

[2] La Trobe Univ, Sch Engn & Math Sci, Dept Engn, Bundoora, Vic 3086, Australia

[3] La Trobe Univ, Australian Res Council Res Hub Med Agr, AgriBio Bldg, Bundoora, Vic 3086, Australia

[4] Photon Syst Instruments, Plant Phenotyping Res Ctr, Brno 66424, Czech Republic

来源：

TRENDS IN PLANT SCIENCE | 2022年 / 27卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

YIELD PREDICTION; STRESS; BIOMASS; QUANTIFICATION; SPECTROSCOPY; VEGETATION; RETRIEVAL; QUALITY; CANOPY; LEAVES;

D O I：

10.1016/j.tplants.2021.12.003

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

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 simulta-neously 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.

引用

页码：301 / 315

页数：15

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