Evaluation of over-the-row harvester damage in a super-high-density olive orchard using on-board sensing techniques

Pérez Ruiz, Manuel and Rallo, Pilar and Jiménez, M. Rocío and Garrido Izard, Miguel and Suárez, M. Paz and Casanova, Laura and Valero Ubierna, Constantino and Martínez Guanter, Jorge and Morales Sillero, Ana (2018). Evaluation of over-the-row harvester damage in a super-high-density olive orchard using on-board sensing techniques. "Sensors", v. 18 (n. 4); pp. 1424-1440. ISSN 1424-8220. https://doi.org/10.3390/s18041242.

Description

Title: Evaluation of over-the-row harvester damage in a super-high-density olive orchard using on-board sensing techniques
Author/s:
  • Pérez Ruiz, Manuel
  • Rallo, Pilar
  • Jiménez, M. Rocío
  • Garrido Izard, Miguel
  • Suárez, M. Paz
  • Casanova, Laura
  • Valero Ubierna, Constantino
  • Martínez Guanter, Jorge
  • Morales Sillero, Ana
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 17 April 2018
Volume: 18
Subjects:
Freetext Keywords: Olea europaea, laser scanning, monitoring, canopy volume, fruit damage, olive harvester, lidar, olivar
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Ingeniería Agroforestal
UPM's Research Group: Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA
Creative Commons Licenses: None

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Abstract

New super-high-density (SHD) olive orchards designed for mechanical harvesting using over-the-row harvesters are becoming increasingly common around the world. Some studies regarding olive SHD harvesting have focused on the effective removal of the olive fruits; however, the energy applied to the canopy by the harvesting machine that can result in fruit damage, structural damage or extra stress on the trees has been little studied. Using conventional analyses, this study investigates the effects of different nominal speeds and beating frequencies on the removal efficiency and the potential for fruit damage, and it uses remote sensing to determine changes in the plant structures of two varieties of olive trees (‘Manzanilla Cacereña’ and ‘Manzanilla de Sevilla’) planted in SHD orchards harvested by an over-the-row harvester. ‘Manzanilla de Sevilla’ fruit was the least tolerant to damage, and for this variety, harvesting at the highest nominal speed led to the greatest percentage of fruits with cuts. Different vibration patterns were applied to the olive trees and were evaluated using triaxial accelerometers. The use of two light detection and ranging (LiDAR) sensing devices allowed us to evaluate structural changes in the studied olive trees. Before- and after-harvest measurements revealed significant differences in the LiDAR data analysis, particularly at the highest nominal speed. The results of this work show that the operating conditions of the harvester are key to minimising fruit damage and that a rapid estimate of the damage produced by an over-the-row harvester with contactless sensing could provide useful information for automatically adjusting the machine parameters in individual olive groves in the future.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainAGL2013-46343-RUnspecifiedUnspecifiedUnspecified

More information

Item ID: 50251
DC Identifier: http://oa.upm.es/50251/
OAI Identifier: oai:oa.upm.es:50251
DOI: 10.3390/s18041242
Official URL: http://www.mdpi.com/1424-8220/18/4/1242
Deposited by: Profesor Constantino Valero Ubierna
Deposited on: 19 Apr 2018 09:02
Last Modified: 29 Apr 2019 09:11
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