A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries

Authors

  • Raffaella Cerutti-Bag Department of Agricultural Robotics, Metaponto Institute of Agricultural Data Science, Bernalda, Italy Author
  • Winifred Applegarth Centre for Agricultural Data Science, Vale of Evesham Institute of Agro-Informatics, Evesham, United Kingdom Author
  • Cveta Lazarevic Department of Geospatial Science, Srem Institute of Agro-Informatics, Ruma, Serbia Author

DOI:

https://doi.org/10.5281/zenodo.22664521

Keywords:

A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technology

Abstract

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.

References

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Brankovic K, Kowalczyk B, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". Precis Agric 10(2017): 91-98. DOI: 10.2196/48297

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". Agric Syst 12(2020): 102-110. DOI: 10.1007/s00330-025-12031-z

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Farkas I, Ionescu F, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a pilot deployment". Remote Sens Environ 18(2017): 135-146. DOI: 10.2196/69678

Grabowski P, Petrescu G, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a case study". Biosyst Eng 20(2020): 146-158. DOI: 10.7759/cureus.46454

Hendriksen W, Wojcik H, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a meta-analysis". Agric For Meteorol 22(2023): 157-170. DOI: 10.1016/j.ssci.2025.107028

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Kowalczyk N, Novotna K, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a field trial". Smart Agric Technol 28(2020): 190-197. DOI: 10.1371/journal.pdig.0000514

Lindqvist U, Urbanek L, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". J Agric Sci 30(2023): 201-209. DOI: 10.17219/acem/208596

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Petrescu S, Szabo P, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a pilot deployment". PLoS One 38(2023): 245-257. DOI: 10.1177/08404704241291226

Quintero B, Balogh Q, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a case study". Sci Rep 40(2014): 256-269. DOI: 10.1093/medlaw/fwad013

Ristic C, Castellani R, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a meta-analysis". Nat Food 42(2017): 267-281. DOI: 10.2196/89834

Szabo J, Jankowiak S, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a comparative trial". Agron J 44(2020): 278-284. DOI: 10.1007/s10916-024-02104-9 7

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". Crop Sci 46(2023): 289-296. DOI: 10.3389/fdgth.2026.1896184

Urbanek Z, Zielinski U, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a field trial". Soil Tillage Res 8(2014): 300-308. DOI: 10.3390/diagnostics15162117

Vasquez A, Alvez V, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". Land Use Policy 10(2017): 311-320. DOI: 10.4103/jrpp.jrpp_20_65

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". Sustainability 12(2020): 322-332. DOI: 10.3389/fdgth.2026.1763884

Zielinski O, Ostrowski Z, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a benchmark comparison". Comput Electron Agric 14(2023): 333-344. DOI: 10.2196/48297

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". Comput Electron Agric 16(2014): 344-356. DOI: 10.1007/s00330-025-12031-z

Balogh E, Emmerich B, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a pilot deployment". Precis Agric 18(2017): 355-368. DOI: 10.3389/fdgth.2026.1699005

Chiriac F, Farkas C, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a case study". Agric Syst 20(2020): 366-380. DOI: 10.3389/fdgth.2026.1834800

Doncheva M, Marchetti D, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a meta-analysis". Field Crops Res 22(2023): 377-383. DOI: 10.2196/69678

Emmerich T, Tarasov E, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a comparative trial". Eur J Agron 24(2014): 388-395. DOI: 10.7759/cureus.46454

Foscarini C, Chiriac F, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a farmer-survey study". Remote Sens Environ 26(2017): 399-407. DOI: 10.1016/j.ssci.2025.107028

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

Brankovic K, Kowalczyk B, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a systematic review". Agric For Meteorol 30(2023): 421-431. DOI: 10.1371/journal.pone.0305949

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

Grabowski P, Petrescu G, et al. "A Multi-Season Dataset of Annotated UAV Imagery for Crop Row Detection Across Five Countries: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.1016/j.mayocpiqo.2022.09.004

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

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Published

2022-10-18