| Title: | Vine canopy reconstruction and assessment with terrestrial lidar and aerial imaging |
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| Authors: | ID Petrović, Igor (Author)
ID Sečnik, Matej (Author)
ID Hočevar, Marko (Author)
ID Berk, Peter (Author) |
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| Files: |  Petrovi-2022-Vine_Canopy_Reconstruction_and_As.pdf (8,23 MB)
MD5: D30FC10384F7132473097974AC628E45
 https://doi.org/10.3390/rs14225894
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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: | For successful dosing of plant protection products, the characteristics of the vine canopies should be known, based on which the spray amount should be dosed. In the field experiment, we compared two optical experimental methods, terrestrial lidar and aerial photogrammetry, with manual defoliation of some selected vines. Like those of other authors, our results show that both terrestrial lidar and aerial photogrammetry were able to represent the canopy well with correlation coefficients around 0.9 between the measured variables and the number of leaves. We found that in the case of aerial photogrammetry, significantly more points were found in the point cloud, but this depended on the choice of the ground sampling distance. Our results show that in the case of aerial UAS photogrammetry, subdividing the vine canopy segments to 5 × 5 cm gives the best representation of the volume of vine canopies. |
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| Keywords: | precision agriculture, remote sensing, 3D point clouds, vineyard, canopy reconstruction, terrestrial lidar, aerial photogrammetry, manual defoliation |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 12.09.2022 |
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| Article acceptance date: | 15.11.2022 |
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| Publication date: | 21.11.2022 |
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| Publisher: | MDPI |
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| Year of publishing: | 2022 |
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| Number of pages: | Str. 1-23 |
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| Numbering: | Letn. 14, Št. 22, št. članka 5894 |
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| PID: | 20.500.12556/DKUM-86916  |
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| UDC: | 634.8:632.9:528.8:004.9 |
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| ISSN on article: | 2072-4292 |
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| COBISS.SI-ID: | 132638723 |
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| DOI: | 10.3390/rs14225894 |
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| Publication date in DKUM: | 15.07.2024 |
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| Views: | 264 |
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| Downloads: | 21 |
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| Metadata: |    |
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| Categories: | Misc.
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