Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Over?the?row harvester damage evaluation in super? high?density olive orchard by on?board sensing techniques
Year:2017
Research Areas
  • Agriculture automatization
Information
Abstract
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.
International
Si
Congress
11th European Conference on Precision Agriculture (ECPA)
960
Place
Edinburgh
Reviewers
Si
ISBN/ISSN
11-1111-111-1
Start Date
16/07/2017
End Date
20/07/2017
From page
1
To page
1
Precision Agriculture 2017
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
  • Departamento: Ingeniería Agroforestal
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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