利用温度注释三维点云测量苹果果实水分胁迫指数

IF 7.6 1区 农林科学 Q1 AGRONOMY
Nikos Tsoulias,Arash Khosravi,Werner B Herppich,Manuela Zude-Sasse
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引用次数: 0

摘要

在与全球变暖和水资源短缺有关的应用生态生理学研究中,水果的水分状况在新鲜食品生产中的重要性与日俱增。本研究引入了水果水分胁迫指数(FWSI),用于密切分析水果与气温之间的关系。采用由光探测和测距(LiDAR)传感器和热像仪组成的传感器系统,通过三维点云对苹果树(Malus x domestica Borkh. "Gala")进行远程分析。在对传感器系统进行几何校准后,将温度值分配到相应的三维点云中,以重建整个树冠的热点云。对属于果实的注释点进行分割,提供注释果实点云。这种估计的果实表面温度三维分布(T Est)与人工记录的参考温度高度相关(r 2 = 0.93)。作为方法上的创新,在 T Est 的基础上引入了果实水分胁迫指数(FWSI Est),与通过已有的二维热成像技术获得的整个冠层的作物水分胁迫指数相比,FWSI Est 有可能提供更详细的果实信息。与人工参考数据相比,FWSI Est 的误差较小。考虑到总共有 302 个苹果,FWSI Est 在季节中有所增加。在商业收获期还对 50 个苹果进行了日间测量,每个苹果每天测量 6 次(共 600 个苹果)。以气温加 5 °C 计算的 FWSI Est 出现了昼夜滞后现象。FWSI Est 的这种昼夜变化以及果实发育过程中的昼夜变化为三维时空果实分析提供了一种新的生态生理学工具,特别是能更有效地捕捉更多样本,深入了解作物管理的具体要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fruit Water Stress Index of Apple Measured by Means of Temperature-Annotated 3D Point Cloud.
In applied ecophysiological studies related to global warming and water scarcity, the water status of fruit is of increasing importance in the context of fresh food production. In the present work, a fruit water stress index (FWSI) is introduced for close analysis of the relationship between fruit and air temperatures. A sensor system consisting of light detection and ranging (LiDAR) sensor and thermal camera was employed to remotely analyze apple trees (Malus x domestica Borkh. "Gala") by means of 3D point clouds. After geometric calibration of the sensor system, the temperature values were assigned in the corresponding 3D point cloud to reconstruct a thermal point cloud of the entire canopy. The annotated points belonging to the fruit were segmented, providing annotated fruit point clouds. Such estimated 3D distribution of fruit surface temperature (T Est) was highly correlated to manually recorded reference temperature (r 2 = 0.93). As methodological innovation, based on T Est, the fruit water stress index (FWSI Est) was introduced, potentially providing more detailed information on the fruit compared to the crop water stress index of whole canopy obtained from established 2D thermal imaging. FWSI Est showed low error when compared to manual reference data. Considering in total 302 apples, FWSI Est increased during the season. Additional diel measurements on 50 apples, each at 6 measurements per day (in total 600 apples), were performed in the commercial harvest window. FWSI Est calculated with air temperature plus 5 °C appeared as diel hysteresis. Such diurnal changes of FWSI Est and those throughout fruit development provide a new ecophysiological tool aimed at 3D spatiotemporal fruit analysis and particularly more efficient, capturing more samples, insight in the specific requests of crop management.
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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
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