Memorias de investigación
Artículos en revistas:
SIMLIDAR - Simulation of LIDAR performance in artificially simulated orchards
Año:2012

Áreas de investigación
  • Matemáticas,
  • Ciencias naturales y ciencias de la salud,
  • Ciencias de la tierra,
  • Ciencia del suelo

Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Biosystems Engineering
ISSN
1537-5110
Factor de impacto JCR
1,354
Información de impacto
Datos JCR del año 2011
Volumen
111
DOI
Número de revista
1
Desde la página
72
Hasta la página
82
Mes
SIN MES
Ranking

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: H. Catalán
  • Autor: V. Méndez
  • Autor: J.R. Rosell
  • Autor: J. Arnó
  • Autor: R. Sanz
  • Autor: Ana Maria Tarquis Alfonso UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica