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SIMLIDAR - Simulation of LIDAR performance in artificially simulated orchards
Publicated to:Biosystems Engineering. 111 (1): 72-82 - 2012-01-01 111(1), DOI: 10.1016/j.biosystemseng.2011.10.010
Authors: Mendez, Valeriano; Catalan, Heliodoro; Rosell, Joan R.; Arno, Jaume; Sanz, Ricardo; Tarquis, Ana;
Affiliations
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 x 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 (R-2=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. (C) 2011 IAgrE. Published by Elsevier Ltd. All rights reserved.
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Bibliometric impact. Analysis of the contribution and dissemination channel
The work has been published in the journal Biosystems Engineering due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2012, it was in position 11/57, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agriculture, Multidisciplinary.
From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 3.17, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)
Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-13, the following number of citations:
- WoS: 14
- Scopus: 18
- OpenCitations: 16
Impact and social visibility
Leadership analysis of institutional authors
There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MENDEZ FUENTES, VALERIANO) and Last Author (TARQUIS ALFONSO, ANA MARIA).