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Quantitative Biology > Quantitative Methods

arXiv:2509.02265 (q-bio)
[Submitted on 2 Sep 2025 ]

Title: Optical Spectroscopic Imaging for Early Detection of Salinity Stress in Plants: A Review

Title: 光学光谱成像在植物盐胁迫早期检测中的应用:综述

Authors:Ramji Gupta, Snehprabha Gujrathi, Swati Sharma, Saurav Bharadwaj
Abstract: Salinity stress poses a significant challenge to global agriculture, necessitating efficient and scalable approaches for early detection and management. This review examines advanced optical spectroscopic imaging techniques, including fluorescence imaging, hyperspectral imaging, and thermal imaging, for their ability to detect physiological and biochemical responses in plants subjected to saline conditions. By focusing exclusively on imaging-based optical methods and excluding traditional spectroscopic techniques, the review emphasises non-invasive tools capable of delivering high sensitivity and specificity. These technologies enable real-time, high-throughput analysis, making them particularly well-suited for large-scale plant screening and breeding programs targeting salt tolerance. The integration of ground-based optical systems with aerial platforms such as unmanned aerial vehicles and satellites significantly expands spatial and temporal monitoring capabilities.
Abstract: 盐度胁迫对全球农业构成了重大挑战,需要高效且可扩展的早期检测和管理方法。 本综述考察了先进的光学光谱成像技术,包括荧光成像、高光谱成像和热成像,以评估其检测受盐分条件影响的植物生理和生化反应的能力。 通过仅关注基于成像的光学方法并排除传统光谱技术,综述强调了能够提供高灵敏度和特异性的非侵入性工具。 这些技术实现了实时、高通量分析,使其特别适合大规模植物筛选和针对耐盐性的育种计划。 将地面光学系统与无人机和卫星等航空平台相结合,显著扩展了空间和时间监测能力。
Subjects: Quantitative Methods (q-bio.QM)
Cite as: arXiv:2509.02265 [q-bio.QM]
  (or arXiv:2509.02265v1 [q-bio.QM] for this version)
  https://doi.org/10.48550/arXiv.2509.02265
arXiv-issued DOI via DataCite

Submission history

From: Saurav Bharadwaj [view email]
[v1] Tue, 2 Sep 2025 12:41:50 UTC (1,273 KB)
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