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Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards

This research demonstrates the basic elements of a prototype automated orchard sprayer which delivers pesticide spray selectively with respect to the characteristics of the targets. The density of an apple tree canopy was detected by PROWAVE 400EP250 ultrasound sensors controlled by a Cypress PSOC C...

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Autores principales: Stajnko, Denis, Berk, Peter, Lešnik, Mario, Jejčič, Viktor, Lakota, Miran, Štrancar, Andrej, Hočevar, Marko, Rakun, Jurij
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522973/
https://www.ncbi.nlm.nih.gov/pubmed/23202220
http://dx.doi.org/10.3390/s121115500
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author Stajnko, Denis
Berk, Peter
Lešnik, Mario
Jejčič, Viktor
Lakota, Miran
Štrancar, Andrej
Hočevar, Marko
Rakun, Jurij
author_facet Stajnko, Denis
Berk, Peter
Lešnik, Mario
Jejčič, Viktor
Lakota, Miran
Štrancar, Andrej
Hočevar, Marko
Rakun, Jurij
author_sort Stajnko, Denis
collection PubMed
description This research demonstrates the basic elements of a prototype automated orchard sprayer which delivers pesticide spray selectively with respect to the characteristics of the targets. The density of an apple tree canopy was detected by PROWAVE 400EP250 ultrasound sensors controlled by a Cypress PSOC CY8C29466 microcontroller. The ultrasound signal was processed with an embedded computer built around a LPC1343 microcontroller and fed in real time to electro-magnetic valves which open/close spraying nozzles in relation to the canopy structure. The analysis focuses on the detection of appropriate thresholds on 15 cm ultrasound bands, which correspond to maximal response to tree density, and this was selected for accurate spraying guidance. Evaluation of the system was performed in an apple orchard by detecting deposits of tartrazine dye (TD) on apple leaves. The employment of programmable microcontrollers and electro-magnetic valves decreased the amount of spray delivered by up to 48.15%. In contrast, the reduction of TD was only up to 37.7% at some positions within the tree crown and 65.1% in the gaps between trees. For all these reasons, this concept of precise orchard spraying can contribute to a reduction of costs and environmental pollution, while obtaining similar or even better leaf deposits.
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spelling pubmed-35229732013-01-09 Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards Stajnko, Denis Berk, Peter Lešnik, Mario Jejčič, Viktor Lakota, Miran Štrancar, Andrej Hočevar, Marko Rakun, Jurij Sensors (Basel) Article This research demonstrates the basic elements of a prototype automated orchard sprayer which delivers pesticide spray selectively with respect to the characteristics of the targets. The density of an apple tree canopy was detected by PROWAVE 400EP250 ultrasound sensors controlled by a Cypress PSOC CY8C29466 microcontroller. The ultrasound signal was processed with an embedded computer built around a LPC1343 microcontroller and fed in real time to electro-magnetic valves which open/close spraying nozzles in relation to the canopy structure. The analysis focuses on the detection of appropriate thresholds on 15 cm ultrasound bands, which correspond to maximal response to tree density, and this was selected for accurate spraying guidance. Evaluation of the system was performed in an apple orchard by detecting deposits of tartrazine dye (TD) on apple leaves. The employment of programmable microcontrollers and electro-magnetic valves decreased the amount of spray delivered by up to 48.15%. In contrast, the reduction of TD was only up to 37.7% at some positions within the tree crown and 65.1% in the gaps between trees. For all these reasons, this concept of precise orchard spraying can contribute to a reduction of costs and environmental pollution, while obtaining similar or even better leaf deposits. Molecular Diversity Preservation International (MDPI) 2012-11-09 /pmc/articles/PMC3522973/ /pubmed/23202220 http://dx.doi.org/10.3390/s121115500 Text en © 2012 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Stajnko, Denis
Berk, Peter
Lešnik, Mario
Jejčič, Viktor
Lakota, Miran
Štrancar, Andrej
Hočevar, Marko
Rakun, Jurij
Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title_full Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title_fullStr Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title_full_unstemmed Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title_short Programmable Ultrasonic Sensing System for Targeted Spraying in Orchards
title_sort programmable ultrasonic sensing system for targeted spraying in orchards
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522973/
https://www.ncbi.nlm.nih.gov/pubmed/23202220
http://dx.doi.org/10.3390/s121115500
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