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Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences and Agriculture

Applied Sciences · 19 Jan 2022 · 10.3390/app12030997

Abstract

As a result of the development of non-invasive optical spectroscopy, the number of prospective technologies of plant monitoring is growing. Being implemented in devices with different functions and hardware, these technologies are increasingly using the most advanced data processing algorithms, including machine learning and more available computing power each time. Optical spectroscopy is widely used to evaluate plant tissues, diagnose crops, and study the response of plants to biotic and abiotic stress. Spectral methods can also assist in remote and non-invasive assessment of the physiology of photosynthetic biofilms and the impact of plant species on biodiversity and ecosystem stability. The emergence of high-throughput technologies for plant phenotyping and the accompanying need for methods for rapid and non-contact assessment of plant productivity has generated renewed interest in the application of optical spectroscopy in fundamental plant sciences and agriculture. In this perspective paper, starting with a brief overview of the scientific and technological backgrounds of optical spectroscopy and current mainstream techniques and applications, we foresee the future development of this family of optical spectroscopic methodologies.

Plant phenotyping relevance

植物の非侵襲的な光学分光によるモニタリング・生理状態評価と、植物フェノタイピングへの応用を扱う方法論的展望であり、フェノタイピング手法のレビューとして中心的です。

abstractThe emergence of high-throughput technologies for plant phenotyping and the accompanying need for methods for rapid and non-contact assessment of plant productivity has generated renewed interest in the application of optical spectroscopy
abstractIn this perspective paper, starting with a brief overview of the scientific and technological backgrounds of optical spectroscopy and current mainstream techniques and applications, we foresee the future development of this family of optical spectroscopic methodologies.

Code and data availability

This is a perspective/review article on optical spectroscopy in plant sciences. It presents no plant-phenotyping measurements, datasets, images, or author analysis code. The Data Availability Statement reads 'Not Applicable', and all URLs mentioned (vendor spectrometer pages, SDG site, journal site) are generic product

No evidence-backed public reproduction asset is currently recorded.

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