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迈向橄榄树冠体积测量的优化方法。

Towards an optimized method of olive tree crown volume measurement.

作者信息

Miranda-Fuentes Antonio, Llorens Jordi, Gamarra-Diezma Juan L, Gil-Ribes Jesús A, Gil Emilio

机构信息

Dpto. de Ingeniería Rural, Área de Mecanización y Tecnología Rural, Universidad de Córdoba, 14005 Córdoba, Spain.

Department of Agri Food Engineering and Biotechnology, Universitat Politècnica de Catalunya, Esteve Terradas 8, Campus del Baix Llobregat D4, 08860 Castelledfels, Barcelona, Spain.

出版信息

Sensors (Basel). 2015 Feb 4;15(2):3671-87. doi: 10.3390/s150203671.

DOI:10.3390/s150203671
PMID:25658396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4367379/
Abstract

Accurate crown characterization of large isolated olive trees is vital for adjusting spray doses in three-dimensional crop agriculture. Among the many methodologies available, laser sensors have proved to be the most reliable and accurate. However, their operation is time consuming and requires specialist knowledge and so a simpler crown characterization method is required. To this end, three methods were evaluated and compared with LiDAR measurements to determine their accuracy: Vertical Crown Projected Area method (VCPA), Ellipsoid Volume method (VE) and Tree Silhouette Volume method (VTS). Trials were performed in three different kinds of olive tree plantations: intensive, adapted one-trunked traditional and traditional. In total, 55 trees were characterized. Results show that all three methods are appropriate to estimate the crown volume, reaching high coefficients of determination: R2 = 0.783, 0.843 and 0.824 for VCPA, VE and VTS, respectively. However, discrepancies arise when evaluating tree plantations separately, especially for traditional trees. Here, correlations between LiDAR volume and other parameters showed that the Mean Vector calculated for VCPA method showed the highest correlation for traditional trees, thus its use in traditional plantations is highly recommended.

摘要

在三维作物种植农业中,准确表征大型孤立橄榄树的树冠对于调整喷雾剂量至关重要。在众多可用方法中,激光传感器已被证明是最可靠、最准确的。然而,其操作耗时且需要专业知识,因此需要一种更简单的树冠表征方法。为此,评估了三种方法并与激光雷达测量结果进行比较以确定其准确性:垂直树冠投影面积法(VCPA)、椭球体体积法(VE)和树轮廓体积法(VTS)。试验在三种不同类型的橄榄树种植园中进行:集约化、改良单干传统型和传统型。总共对55棵树进行了表征。结果表明,所有三种方法都适用于估算树冠体积,决定系数较高:VCPA、VE和VTS的R2分别为0.783、0.843和0.824。然而,分别评估树木种植园时会出现差异,尤其是对于传统树木。在此,激光雷达体积与其他参数之间的相关性表明,VCPA方法计算的平均向量与传统树木的相关性最高,因此强烈建议在传统种植园中使用该方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/99acb46542aa/sensors-15-03671f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/1e49b87b0dc3/sensors-15-03671f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/8797311d8d66/sensors-15-03671f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/99acb46542aa/sensors-15-03671f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/1e49b87b0dc3/sensors-15-03671f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/8797311d8d66/sensors-15-03671f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdcd/4367379/99acb46542aa/sensors-15-03671f9.jpg

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