Modern imaging techniques in plant nutrition analysis: A review

Daoliang Li; Cheng Li; Yuan Yao; Mengdi Li; Licheng Liu

doi:10.1016/j.compag.2020.105459

Modern imaging techniques in plant nutrition analysis: A review

Daoliang Li, Cheng Li, Yuan Yao, Mengdi Li, Licheng Liu

Bioproducts and Biosystems Engineering

Research output: Contribution to journal › Review article › peer-review

59 Scopus citations

Abstract

Plants show morphology, physiology and biochemical change when they encounter abiotic stress. Image-based plant nutrition analysis is based on this principle and focus on the relationships between plant nutrition content and phenotyping changes, such as leaf color, leaf texture, height, light reflectance ratio, etc. As a non-destructive method, imaging technology can be deployed to support automated plant diagnose and production. Current imaging technologies used in plant nutrition analysis include red–green–blue (RGB) imaging, imaging spectroscopy and fluorescence imaging. This article summarizes the development of imaging technologies for plant nutrition analysis over the past decade and presents their basic concepts and principles. The pros and cons of each imaging method are discussed and future research directions are highlighted. We focus on imaging applications describing the phenotyping of plant canopy instead of root architecture. Advancement in imaging technology has greatly accelerated the application of image-based plant nutrition analysis. This paper provides new ideas for researchers who are committed to plant nutrition analysis and production management.

Original language	English (US)
Article number	105459
Journal	Computers and Electronics in Agriculture
Volume	174
DOIs	https://doi.org/10.1016/j.compag.2020.105459
State	Published - Jul 2020

Bibliographical note

Funding Information:
The authors thank American Journal Experts for providing English language editing of this paper. We are also appreciated that Prof. Guoping Lian from Surrey University has made great contribution in improving English writing of this manuscript. In the end, we are grateful for financial support from the EU FP7 Framework Plan (Grant no. 619137), and Beijing Municipal Science and Technology Commission Project (Z171100001517016).

Funding Information:
The authors thank American Journal Experts for providing English language editing of this paper. We are also appreciated that Prof. Guoping Lian from Surrey University has made great contribution in improving English writing of this manuscript. In the end, we are grateful for financial support from the EU FP7 Framework Plan (Grant no. 619137), and Beijing Municipal Science and Technology Commission Project ( Z171100001517016 ).

Publisher Copyright:
© 2020 Elsevier B.V.

Keywords

Data analysis
Fluorescence imaging
High-throughput phenotyping platform
Image processing
Imaging spectroscopy
Plant nutrition analysis
RGB imaging

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10.1016/j.compag.2020.105459

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abstract = "Plants show morphology, physiology and biochemical change when they encounter abiotic stress. Image-based plant nutrition analysis is based on this principle and focus on the relationships between plant nutrition content and phenotyping changes, such as leaf color, leaf texture, height, light reflectance ratio, etc. As a non-destructive method, imaging technology can be deployed to support automated plant diagnose and production. Current imaging technologies used in plant nutrition analysis include red–green–blue (RGB) imaging, imaging spectroscopy and fluorescence imaging. This article summarizes the development of imaging technologies for plant nutrition analysis over the past decade and presents their basic concepts and principles. The pros and cons of each imaging method are discussed and future research directions are highlighted. We focus on imaging applications describing the phenotyping of plant canopy instead of root architecture. Advancement in imaging technology has greatly accelerated the application of image-based plant nutrition analysis. This paper provides new ideas for researchers who are committed to plant nutrition analysis and production management.",

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author = "Daoliang Li and Cheng Li and Yuan Yao and Mengdi Li and Licheng Liu",

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N2 - Plants show morphology, physiology and biochemical change when they encounter abiotic stress. Image-based plant nutrition analysis is based on this principle and focus on the relationships between plant nutrition content and phenotyping changes, such as leaf color, leaf texture, height, light reflectance ratio, etc. As a non-destructive method, imaging technology can be deployed to support automated plant diagnose and production. Current imaging technologies used in plant nutrition analysis include red–green–blue (RGB) imaging, imaging spectroscopy and fluorescence imaging. This article summarizes the development of imaging technologies for plant nutrition analysis over the past decade and presents their basic concepts and principles. The pros and cons of each imaging method are discussed and future research directions are highlighted. We focus on imaging applications describing the phenotyping of plant canopy instead of root architecture. Advancement in imaging technology has greatly accelerated the application of image-based plant nutrition analysis. This paper provides new ideas for researchers who are committed to plant nutrition analysis and production management.

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Modern imaging techniques in plant nutrition analysis: A review

Abstract

Bibliographical note

Keywords

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