Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems

This study explores the feasibility of an automated sensor system for precise plant protection product application in plum orchards, aiming to address issues related to inefficient spraying practices, environmental pollution, and reduced crop quality associated with traditional training systems. The...

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Main Authors: Jurij Rakun, Peter Lepej, Rajko Bernik, Jelisaveta Seka Cvijanović, Miljan Cvetković, Erik Rihter
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/14/12/2371
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author Jurij Rakun
Peter Lepej
Rajko Bernik
Jelisaveta Seka Cvijanović
Miljan Cvetković
Erik Rihter
author_facet Jurij Rakun
Peter Lepej
Rajko Bernik
Jelisaveta Seka Cvijanović
Miljan Cvetković
Erik Rihter
author_sort Jurij Rakun
collection DOAJ
description This study explores the feasibility of an automated sensor system for precise plant protection product application in plum orchards, aiming to address issues related to inefficient spraying practices, environmental pollution, and reduced crop quality associated with traditional training systems. The research focuses on detecting tree canopy presence, evaluating electromagnetic valve actuation in different plum training systems, and optimizing plant protection product usage. Sensor-based spraying demonstrates its potential to improve operational efficiency, reduce product losses, and foster environmentally responsible agricultural practices, contributing to the broader field of precision agriculture. For the selected scene, the results show the possibility of a substantial savings of 71.37%, 47.17%, 58.59%, and 55.06% for the One-axis, Bi-axis, UFO, and Combine systems, respectively. Implementing this technology can potentially lead to significant improvements in plum orchard operations while minimizing the industry’s ecological impact on the environment.
format Article
id doaj-art-7b451e6537bd4a06bfc0a4010d9fc8c2
institution Kabale University
issn 2077-0472
language English
publishDate 2024-12-01
publisher MDPI AG
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series Agriculture
spelling doaj-art-7b451e6537bd4a06bfc0a4010d9fc8c22024-12-27T14:03:31ZengMDPI AGAgriculture2077-04722024-12-011412237110.3390/agriculture14122371Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training SystemsJurij Rakun0Peter Lepej1Rajko Bernik2Jelisaveta Seka Cvijanović3Miljan Cvetković4Erik Rihter5Faculty of Agriculture and Life Sciences, University of Maribor, 2311 Hoče, SloveniaFaculty of Agriculture and Life Sciences, University of Maribor, 2311 Hoče, SloveniaBiotehnical Faculty, University of Ljubljana, 1000 Ljubljana, SloveniaFaculty of Agriculture, University of Banja Luka, 78000 Banja Luka, Bosnia and HerzegovinaFaculty of Agriculture, University of Banja Luka, 78000 Banja Luka, Bosnia and HerzegovinaFaculty of Agriculture and Life Sciences, University of Maribor, 2311 Hoče, SloveniaThis study explores the feasibility of an automated sensor system for precise plant protection product application in plum orchards, aiming to address issues related to inefficient spraying practices, environmental pollution, and reduced crop quality associated with traditional training systems. The research focuses on detecting tree canopy presence, evaluating electromagnetic valve actuation in different plum training systems, and optimizing plant protection product usage. Sensor-based spraying demonstrates its potential to improve operational efficiency, reduce product losses, and foster environmentally responsible agricultural practices, contributing to the broader field of precision agriculture. For the selected scene, the results show the possibility of a substantial savings of 71.37%, 47.17%, 58.59%, and 55.06% for the One-axis, Bi-axis, UFO, and Combine systems, respectively. Implementing this technology can potentially lead to significant improvements in plum orchard operations while minimizing the industry’s ecological impact on the environment.https://www.mdpi.com/2077-0472/14/12/2371sensorsspraying application controltarget-oriented sprayplum orchardtraining systems
spellingShingle Jurij Rakun
Peter Lepej
Rajko Bernik
Jelisaveta Seka Cvijanović
Miljan Cvetković
Erik Rihter
Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
Agriculture
sensors
spraying application control
target-oriented spray
plum orchard
training systems
title Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
title_full Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
title_fullStr Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
title_full_unstemmed Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
title_short Possible Enhancing of Spraying Management by Evaluating Automated Control in Different Training Systems
title_sort possible enhancing of spraying management by evaluating automated control in different training systems
topic sensors
spraying application control
target-oriented spray
plum orchard
training systems
url https://www.mdpi.com/2077-0472/14/12/2371
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AT rajkobernik possibleenhancingofsprayingmanagementbyevaluatingautomatedcontrolindifferenttrainingsystems
AT jelisavetasekacvijanovic possibleenhancingofsprayingmanagementbyevaluatingautomatedcontrolindifferenttrainingsystems
AT miljancvetkovic possibleenhancingofsprayingmanagementbyevaluatingautomatedcontrolindifferenttrainingsystems
AT erikrihter possibleenhancingofsprayingmanagementbyevaluatingautomatedcontrolindifferenttrainingsystems