A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries
DOI:
https://doi.org/10.5281/zenodo.22664521Keywords:
A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technologyAbstract
A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries has moved quickly from a
research idea to something a working farm can actually use, but the evidence behind it has not always kept pace. We pull together
the current evidence for a multi-season dataset of annotated uav imagery for crop row detection across five countries, covering
the methodological, practical, governance and cost angles, with an eye on where practice has genuinely settled and where farms
and advisors are still largely working it out for themselves. Selective, context-specific adoption looks better supported by the
evidence gathered here than either broad rollout or blanket avoidance.
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Alvez D, Dumitrescu A, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a field trial". Biosyst Eng 28(2020): 410-419. DOI: 10.2196/48633
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Castellani R, Ristic C, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a on-farm evaluation". Front Plant Sci 32(2014): 432-443. DOI: 10.1371/journal.pdig.0000514
Dumitrescu A, Andric D, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a benchmark comparison". Sensors 34(2017): 443-455. DOI: 10.17219/acem/208596
Eriksdottir B, Brankovic E, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a multi-season study". Smart Agric Technol 36(2020): 454-467. DOI: 10.7759/cureus.104086
Farkas I, Ionescu F, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a pilot deployment". J Agric Sci 38(2023): 465-479. DOI: 10.1038/s41746-023-00852-5
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Hendriksen W, Wojcik H, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a meta-analysis". Food Policy 42(2017): 487-494. DOI: 10.1177/08404704241291226
Ionescu F, Foscarini I, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a comparative trial". World Dev 44(2020): 498-506. DOI: 10.1093/medlaw/fwad013
Jankowiak G, Grabowski J, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a farmer-survey study". PLoS One 46(2023): 509-518. DOI: 10.2196/89834
Kowalczyk N, Novotna K, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a field trial". Sci Rep 8(2014): 520-530. DOI: 10.1007/s10916-024-02104-9
Lindqvist U, Urbanek L, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". Nat Food 10(2017): 531-542. DOI: 10.3389/fdgth.2026.1896184
Marchetti D, Doncheva M, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a on-farm evaluation". Agron J 12(2020): 542-554. DOI: 10.3390/diagnostics15162117
Novotna E, Eriksdottir N, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a benchmark comparison". Crop Sci 14(2023): 553-566. DOI: 10.4103/jrpp.jrpp_20_65
Ostrowski L, Lindqvist O, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a multi-season study". Soil Tillage Res 16(2014): 564-578. DOI: 10.3389/fdgth.2026.1763884
Petrescu S, Szabo P, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a pilot deployment". Land Use Policy 18(2017): 575-581. DOI: 10.2196/48297
Quintero B, Balogh Q, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a case study". Sustainability 20(2020): 586-593. DOI: 10.1007/s00330-025-12031-z
Ristic C, Castellani R, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a meta-analysis". Comput Electron Agric 22(2023): 597-605. DOI: 10.3389/fdgth.2026.1699005
Szabo J, Jankowiak S, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a comparative trial". Comput Electron Agric 24(2014): 608-617. DOI: 10.3389/fdgth.2026.1834800
Tarasov Q, Quintero T, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a farmer-survey study". Precis Agric 26(2017): 619-629. DOI: 10.2196/69678
Urbanek Z, Zielinski U, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a field trial". Agric Syst 28(2020): 630-641. DOI: 10.7759/cureus.46454
Vasquez A, Alvez V, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". Field Crops Res 30(2023): 641-653. DOI: 10.1016/j.ssci.2025.107028
Wojcik H, Hendriksen W, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a on-farm evaluation". Eur J Agron 32(2014): 652-665. DOI: 10.2196/48633
Zielinski O, Ostrowski Z, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a benchmark comparison". Remote Sens Environ 34(2017): 663-677. DOI: 10.1371/journal.pone.0305949
Andric V, Vasquez A, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a multi-season study". Biosyst Eng 36(2020): 674-680. DOI: 10.1371/journal.pdig.0000514

