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Plant protection product dose rate estimation in apple orchards using a fuzzy logic system

In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic...

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Autores principales: Berk, Peter, Stajnko, Denis, Hočevar, Marko, Malneršič, Aleš, Jejčič, Viktor, Belšak, Aleš
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481820/
https://www.ncbi.nlm.nih.gov/pubmed/31017938
http://dx.doi.org/10.1371/journal.pone.0214315
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author Berk, Peter
Stajnko, Denis
Hočevar, Marko
Malneršič, Aleš
Jejčič, Viktor
Belšak, Aleš
author_facet Berk, Peter
Stajnko, Denis
Hočevar, Marko
Malneršič, Aleš
Jejčič, Viktor
Belšak, Aleš
author_sort Berk, Peter
collection PubMed
description In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous system is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous system is based on a fuzzy logic system (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a fuzzy logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenological growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future.
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spelling pubmed-64818202019-05-07 Plant protection product dose rate estimation in apple orchards using a fuzzy logic system Berk, Peter Stajnko, Denis Hočevar, Marko Malneršič, Aleš Jejčič, Viktor Belšak, Aleš PLoS One Research Article In the process of applying a plant protection product mixed with water (spray mixture) at the prescribed concentration with conventional sprayers for chemical protection of tree canopies in an orchard, standard models are used to express the dose rate of the plant protection product. Characteristic properties of the tree canopy in an orchard are not taken into consideration. Such models result in fixed quantities of spray mixture being sprayed through individual nozzles into a tree canopy. In this research work, an autonomous system is presented, which ensures a controlled quantity of spray mixture sprayed through the nozzles onto different tree canopy segments. The autonomous system is based on a fuzzy logic system (FLS) that includes information about the estimated leaf area to ensure more appropriate control of the spray mixture. An integral part of the FLS is a fuzzy logic controller for three electromagnetic valves operating in the pulse width mode and installed on the axial sprayer prototype. The results showed that, with the FLS, it was possible to control the quantity of spray mixture in the specific range depending on the estimated value of the leaf area, with a quantitative spray mixture average saving of 17.92%. For the phenological growth stage BBCH 91, this method represents a powerful tool for reducing the quantity of spray mixture for plant protection in the future. Public Library of Science 2019-04-24 /pmc/articles/PMC6481820/ /pubmed/31017938 http://dx.doi.org/10.1371/journal.pone.0214315 Text en © 2019 Berk et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Berk, Peter
Stajnko, Denis
Hočevar, Marko
Malneršič, Aleš
Jejčič, Viktor
Belšak, Aleš
Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title_full Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title_fullStr Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title_full_unstemmed Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title_short Plant protection product dose rate estimation in apple orchards using a fuzzy logic system
title_sort plant protection product dose rate estimation in apple orchards using a fuzzy logic system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481820/
https://www.ncbi.nlm.nih.gov/pubmed/31017938
http://dx.doi.org/10.1371/journal.pone.0214315
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