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Over-the-row harvester damage evaluation in super-high-density olive orchard by on-board sensing techniques

Published online by Cambridge University Press:  01 June 2017

J. Martinez-Guanter ,
M. Garrido-Izard ,
J. Agüera ,
C. Valero  and
M. Pérez-Ruiz
J. Martinez-Guanter*
Affiliation:
Aerospace Engineering and Fluids Mechanics Department, University of Seville, Ctra. Sevilla-Utrera km 1, 41013 Seville, Spain
M. Garrido-Izard
Affiliation:
LPF_TAGRALIA (Laboratorio de Propiedades Físicas-TAGRALIA), Technical University of Madrid, Avda. Complutense s/n 28040 Madrid, Spain
J. Agüera
Affiliation:
Dtpo. de Ingeniería Rural, University of Córdoba, Spain
C. Valero
Affiliation:
LPF_TAGRALIA (Laboratorio de Propiedades Físicas-TAGRALIA), Technical University of Madrid, Avda. Complutense s/n 28040 Madrid, Spain
M. Pérez-Ruiz
Affiliation:
Aerospace Engineering and Fluids Mechanics Department, University of Seville, Ctra. Sevilla-Utrera km 1, 41013 Seville, Spain
*
†E-mail: [email protected]
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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.

Keywords

Laser scanningmonitoringcanopyolive harvesterkinect
Type
Precision Horticulture and Viticulture
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 487 - 491
Copyright
© The Animal Consortium 2017 

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