Orange tree canopy volume estimation by manual and LiDAR-based methods
Colaço, André F.
Trevisan, Rodrigo G.
Molin, José P.
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LiDAR (Light detection and ranging) technology is an alternative to current manual methods of canopy geometry estimations in orange trees. The objective of this work was to compare different types of canopy volume estimations of orange trees, some inspired on manual methods and others based on a LiDAR sensor. A point cloud was generated for 25 individual trees using a laser scanning system. The convex-hull and the alpha-shape surface reconstruction algorithms were tested. LiDAR derived models are able to represent orange trees more accurately than traditional methods. However, results differ significantly from the current manual method. In addition, different 3D modeling algorithms resulted in different canopy volume estimations. Therefore, a new standard method should be developed and established.
NoteProceedings of the 11th European Conference on Precision Agriculture
Is part ofAdvances in Animal Biosciences, 2017, vol. 8, núm. 2, p. 477-480
European research projects
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Colaço, André F.; Molin, José P.; Rosell Polo, Joan Ramon; Escolà i Agustí, Alexandre (Springer, 2018-09-22)Characterizing crop spatial variability is crucial for estimating the opportunities for site-specific management practices. In the context of tree crops, ranging sensor technology has been developed to assess tree canopy ...
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