Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards
2021
Llorens Calveras, Jordi | Alsina Tehàs, Albert | Arnó Satorra, Jaume | Martínez Casasnovas, José Antonio | Escolà i Agustí, Alexandre
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.
Показать больше [+] Меньше [-]This work was funded by the Spanish Ministry of Science, Innovation and Universities through the project PAgFRUIT (RTI2018-094222-B-I00). Also this work was supported by Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya under Grant 2017-SGR-646.
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