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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
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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. |
format | Online Article Text |
id | pubmed-3522973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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