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Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques

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 ca...

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Autores principales: Pérez-Ruiz, Manuel, Rallo, Pilar, Jiménez, M. Rocío, Garrido-Izard, Miguel, Suárez, M. Paz, Casanova, Laura, Valero, Constantino, Martínez-Guanter, Jorge, Morales-Sillero, Ana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948524/
https://www.ncbi.nlm.nih.gov/pubmed/29673226
http://dx.doi.org/10.3390/s18041242
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author Pérez-Ruiz, Manuel
Rallo, Pilar
Jiménez, M. Rocío
Garrido-Izard, Miguel
Suárez, M. Paz
Casanova, Laura
Valero, Constantino
Martínez-Guanter, Jorge
Morales-Sillero, Ana
author_facet Pérez-Ruiz, Manuel
Rallo, Pilar
Jiménez, M. Rocío
Garrido-Izard, Miguel
Suárez, M. Paz
Casanova, Laura
Valero, Constantino
Martínez-Guanter, Jorge
Morales-Sillero, Ana
author_sort Pérez-Ruiz, Manuel
collection PubMed
description 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.
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spelling pubmed-59485242018-05-17 Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques Pérez-Ruiz, Manuel Rallo, Pilar Jiménez, M. Rocío Garrido-Izard, Miguel Suárez, M. Paz Casanova, Laura Valero, Constantino Martínez-Guanter, Jorge Morales-Sillero, Ana Sensors (Basel) Article 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. MDPI 2018-04-17 /pmc/articles/PMC5948524/ /pubmed/29673226 http://dx.doi.org/10.3390/s18041242 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez-Ruiz, Manuel
Rallo, Pilar
Jiménez, M. Rocío
Garrido-Izard, Miguel
Suárez, M. Paz
Casanova, Laura
Valero, Constantino
Martínez-Guanter, Jorge
Morales-Sillero, Ana
Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title_full Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title_fullStr Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title_full_unstemmed Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title_short Evaluation of Over-The-Row Harvester Damage in a Super-High-Density Olive Orchard Using On-Board Sensing Techniques
title_sort evaluation of over-the-row harvester damage in a super-high-density olive orchard using on-board sensing techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948524/
https://www.ncbi.nlm.nih.gov/pubmed/29673226
http://dx.doi.org/10.3390/s18041242
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