Unverified paper record
First Form, Then Function: 3D Reconstruction of Cucumber Plants (Cucumis sativus L.) Allows Early Detection of Stress Effects through Leaf Dimensions
Remote Sensing · 23 Feb 2022 · 10.3390/rs14051094
Abstract
Detection of morphological stress symptoms through 3D examination of plants might be a cost-efficient way to avoid yield losses and ensure product quality in agricultural and horticultural production. Although the 3D reconstruction of plants was intensively performed, the relationships between morphological and physiological plant responses to salinity stress need to be established. Therefore, cucumber plants were grown in a greenhouse in nutrient solutions under three salinity treatments: 0, 25, and 50 mM NaCl. To detect stress-induced changes in leaf transversal and longitudinal angles and dimensions, photographs were taken from plants for 3D reconstruction through photogrammetry. For assessment of physiological stress responses, invasive leaf measurements, including the determination of leaf osmotic potential, leaf relative water content, and the leaf dry to fresh weight ratio, were performed. The transversal and longitudinal leaf dimensions revealed statistically significant differences between stressed and control plants after 60 °Cd (day 3) for the leaves which appeared before stress imposition. Strong correlations were found between the transversal width and some investigated physiological traits. Morphological changes were shown as indicators of physiological responses of leaves under salinity stress.
Plant phenotyping relevance
3Dフォトグラメトリによる葉形状の取得・再構成を用いて、塩ストレスの早期兆候を定量化する手法が研究の中心であるため。
abstractDetection of morphological stress symptoms through 3D examination of plants might be a cost-efficient way to avoid yield losses
abstractphotographs were taken from plants for 3D reconstruction through photogrammetry
abstractThe transversal and longitudinal leaf dimensions revealed statistically significant differences between stressed and control plants
Code and data availability
The paper describes cucumber 3D photogrammetry phenotyping under salinity stress, but provides no public dataset, image, code, or model deposit. The Data Availability Statement reads 'Not applicable', and no author URL or repository for data or analysis code is given; software mentioned (Agisoft PhotoScan, MeshLab, R)
No evidence-backed public reproduction asset is currently recorded.
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