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Memorias de investigación
Ponencias en congresos:
Over?the?row harvester damage evaluation in super? high?density olive orchard by on?board sensing techniques
Año:2017
Áreas de investigación
  • Automatización en agricultura
Datos
Descripción
New Super-High-Density (SHD) olive orchards designed for mechanical harvesting are increasing very rapidly in Spain. Most studies have focused in effectively removing the olive fruit, however the machine needs to put significant amount of energy on the canopy that could result in structural damage or extra stress on the trees. During harvest, a series of 3-axis accelerometers were installed on the tree structure in order to register vibration patterns. A LiDAR (Light Detection and Ranging) and a camera sensing device were also mounted on a tractor. Before and after harvest measurements showed significant differences in the LiDAR and image data. A fast estimate of the damage produced by an over-the-row harvester with contactless sensing could be useful information for adjusting the machine parameters in each olive grove automatically in the future.
Internacional
Si
Nombre congreso
11th European Conference on Precision Agriculture (ECPA)
Tipo de participación
960
Lugar del congreso
Edinburgh
Revisores
Si
ISBN o ISSN
11-1111-111-1
DOI
Fecha inicio congreso
16/07/2017
Fecha fin congreso
20/07/2017
Desde la página
1
Hasta la página
1
Título de las actas
Precision Agriculture 2017
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jorge Martinez (Aerospace Engineering and Fluids Mechanics Department, University of Seville, Ctra. Sevilla-Utrera km 1, 41013 Seville, Spain)
  • Autor: Miguel Garrido Izard (UPM)
  • Autor: Juan Agüera (Dtpo. de Ingeniería Rural, University of Córdoba, Spain)
  • Autor: Constantino Valero Ubierna (UPM)
  • Autor: Manuel Pérez-Ruiz (Aerospace Engineering and Fluids Mechanics Department, University of Seville, Ctra. Sevilla-Utrera km 1, 41013 Seville, Spain)
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  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
  • Departamento: Ingeniería Agroforestal
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