SIMLIDAR – Simulation of LIDAR performance in artificially simulated orchards

Méndez, Valeriano; Catalán, Heliodoro; Rosell Polo, Joan Ramon; Arnó Satorra, Jaume; Sanz Cortiella, Ricardo; Tarquis, Ana

doi:https://doi.org/10.1016/j.biosystemseng.2011.10.010

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Issue date

2012

Author

Méndez, Valeriano

Catalán, Heliodoro

Rosell Polo, Joan Ramon

Arnó Satorra, Jaume

Sanz Cortiella, Ricardo

Tarquis, Ana

Suggested citation

Méndez, Valeriano; Catalán, Heliodoro; Rosell Polo, Joan Ramon; Arnó Satorra, Jaume; Sanz Cortiella, Ricardo; Tarquis, Ana; . (2012) . SIMLIDAR – Simulation of LIDAR performance in artificially simulated orchards. Biosystems Engineering, 2012, vol. 111, núm. 1, p. 72–82. https://doi.org/10.1016/j.biosystemseng.2011.10.010.

Abstract

SIMLIDAR is an application developed in C++ that generates an artificial orchard using a Lindenmayer system. The application simulates the lateral interaction between the artificial orchard and a laser scanner or LIDAR (Light Detection and Ranging). To best highlight the unique qualities of the LIDAR

simulation, this work focuses on apple trees without leaves, i.e. the woody structure. The objective is to simulate a terrestrial laser sensor (LIDAR) when applied to different artificially created orchards and compare the simulated characteristics of trees with the parameters obtained with the LIDAR. The scanner is mounted on a virtual tractor and measures the distance between the origin of the laser beam and the nearby plant object. This measurement is taken with an angular scan in a plane which is perpendicular to the route of the virtual tractor. SIMLIDAR determines the distance measured in a bi-dimensional matrix N × M, where N is the number of angular scans and M is the number of steps in the tractor route. In order to test the data and performance of SIMLIDAR, the simulation has been applied to 42 different artificial orchards. After previously defining and calculating two vegetative parameters (wood area and wood projected area) of the simulated trees, a good correlation (R2 = 0.70–0.80) was found between these characteristics and the wood area detected (impacted) by the laser beam. The designed software can be valuable in horticulture for estimating biomass and optimising the pesticide treatments that are performed in winter.

URI

http://hdl.handle.net/10459.1/58069

DOI

https://doi.org/10.1016/j.biosystemseng.2011.10.010

Is part of

Biosystems Engineering, 2012, vol. 111, núm. 1, p. 72–82