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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Format: | Article |
Language: | English |
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MDPI AG
2024-12-01
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Series: | Agriculture |
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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 |
record_format | Article |
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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