Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards

View/ Open
Issue date
2021Author
Alsina Tehàs, Albert
Suggested citation
Llorens Calveras, Jordi;
Alsina Tehàs, Albert;
Arnó Satorra, Jaume;
Martínez Casasnovas, José Antonio;
Escolà i Agustí, Alexandre;
.
(2021)
.
Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards.
Stafford, J.V. (ed.), Precision Agriculture’21. Wageningen Academic Publishers, Amsterdam (The Netherlands), pp 395-401. https://doi.org/10.3920/978-90-8686-916-9.
http://hdl.handle.net/10459.1/84065.
Metadata
Show full item recordAbstract
An analysis of data obtained by a LiDAR sensor was carried out. The sensor uses 16 laser beams and was moved along super-intensive almond orchard alleyways to obtain a 3D point cloud. Different beam combinations were used to obtain three geometrical crop parameters: canopy height, width and cross-sectional area. The parameters were computed using a single central beam, a combination of the two outer beams and all 16 beams. The results showed statistically significant differences in width and cross-sectional area when using one, two or sixteen beams. The more the laser beams considered, the larger the canopy width and cross-sectional area. 28-33% larger width was obtained in comparison to the central beam whereas the cross-sectional area was doubled when all beams were considered.