Mapping olive-tree geometric features from 3D models generated with an unmanned aerial vehicle

J. Torres-Sánchez; F. López-Granados; J.M. Peña

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Mapping olive-tree geometric features from 3D models generated with an unmanned aerial vehicle

In: Precision agriculture '15

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J. Torres-Sánchez

J. Torres-Sánchez
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F. López-Granados

F. López-Granados
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J.M. Peña

J.M. Peña
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Type:: Chapter

Pages:: 321–328

DOI:: https://doi.org/10.3920/978-90-8686-814-8_39

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A detailed monitoring of the olive-tree dimensions can increase efficiency of precision oliviculture. This article presents an innovative and high-throughput methodology of obtaining this data based on two phases: (1) generation of 3D digital surface models of the olive field from unmanned aerial vehicle images; and (2) implementation of an object-based image analysis (OBIA) procedure for automatic mapping of the geometric features of each individual tree. The photogrammetric software was able to perform the 3D reconstruction of 100% of the olive trees, which were successfully detected by the OBIA methodology with minimum user interaction. Evaluation of the olive-tree (area-based) map reported 97.4% of overall accuracy, meanwhile the projected area, height and volume of each tree were automatically retrieved in tabular format for further analysis.

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Precision agriculture '15

E-Book ISBN:: 9789086868148

Publisher:: Wageningen Academic

Print Publication Date:: 01 Jul 2015

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Mapping olive-tree geometric features from 3D models generated with an unmanned aerial vehicle

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Precision agriculture '15

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