基于光谱成像和机器学习的植物非侵入性表型综合方法

IF 4.9 Q1 BIOPHYSICS
Biophysical reviews Pub Date : 2023-09-04 eCollection Date: 2023-10-01 DOI:10.1007/s12551-023-01125-x
Alexei Solovchenko, Boris Shurygin, Dmitry A Nesterov, Dmitry V Sorokin
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引用次数: 0

摘要

高通量表型分析现在是植物科学进步、加速育种和精准农业的核心。表型分析的力量来自于描述植物对象的大型数据集的自动、快速、无创收集。在这种情况下,从不同类型的图像中提取相关信息的目标至关重要。我们回顾了光谱和基于机器学习的植物成像方法,以确定它们的表型。这两种方法的优点和缺点将重点讨论植物的监测。我们认为,结合光谱和基于机器学习的方法的优势的新兴方法在不久的将来仍将是植物表型分析的一个有前途的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards the synthesis of spectral imaging and machine learning-based approaches for non-invasive phenotyping of plants.

High-throughput phenotyping is now central to the progress of plant sciences, accelerated breeding, and precision farming. The power of phenotyping comes from the automated, rapid, non-invasive collection of large datasets describing plant objects. In this context, the goal of extracting relevant information from different kinds of images is of paramount importance. We review both the spectral and machine learning-based approaches to imaging of plants for the purpose of their phenotyping. The advantages and drawbacks of both approaches will be discussed with a focus on the monitoring of plants. We argue that an emerging approach combining the strengths of the spectral and the machine learning-based approaches will remain a promising direction in plant phenotyping in the nearest future.

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来源期刊
Biophysical reviews
Biophysical reviews Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
8.90
自引率
0.00%
发文量
93
期刊介绍: Biophysical Reviews aims to publish critical and timely reviews from key figures in the field of biophysics. The bulk of the reviews that are currently published are from invited authors, but the journal is also open for non-solicited reviews. Interested authors are encouraged to discuss the possibility of contributing a review with the Editor-in-Chief prior to submission. Through publishing reviews on biophysics, the editors of the journal hope to illustrate the great power and potential of physical techniques in the biological sciences, they aim to stimulate the discussion and promote further research and would like to educate and enthuse basic researcher scientists and students of biophysics. Biophysical Reviews covers the entire field of biophysics, generally defined as the science of describing and defining biological phenomenon using the concepts and the techniques of physics. This includes but is not limited by such areas as: - Bioinformatics - Biophysical methods and instrumentation - Medical biophysics - Biosystems - Cell biophysics and organization - Macromolecules: dynamics, structures and interactions - Single molecule biophysics - Membrane biophysics, channels and transportation
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