| Title: | Possible enhancing of spraying management by evaluating automated control in different training systems |
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| Authors: | ID Rakun, Jurij (Author)
ID Lepej, Peter (Author)
ID Bernik, Rajko (Author)
ID Cvijanović, Jelisaveta Seka (Author)
ID Cvetković, Miljan (Author)
ID Rihter, Erik (Author) |
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| Files: |  https://www.mdpi.com/2077-0472/14/12/2371
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FKBV - Faculty of Agriculture and Life Sciences
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| Abstract: | 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. |
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| Keywords: | sensors, spraying application control, target-oriented spray, plum orchard, training systems |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 01.12.2024 |
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| Article acceptance date: | 18.12.2024 |
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| Publication date: | 23.12.2024 |
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| Year of publishing: | 2024 |
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| Number of pages: | 13 str. |
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| Numbering: | ǂVol. ǂ14, ǂiss. ǂ12, [art. no.] 2371 |
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| PID: | 20.500.12556/DKUM-91503  |
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| UDC: | 631 |
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| ISSN on article: | 2077-0472 |
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| COBISS.SI-ID: | 221179139 |
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| DOI: | 10.3390/agriculture14122371 |
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| Publication date in DKUM: | 08.08.2025 |
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| Views: | 129 |
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| Downloads: | 2 |
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| Metadata: |    |
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| Categories: | Misc.
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