Sward Composition Mapping From Drone Multispectral Imagery: Field Study on Grazed Pasture

Authors

  • Carl-Otto Fagerlund Department of Agricultural Robotics, Vastergotland Centre for Digital Agriculture, Skara, Sweden Author
  • Godofredo Chaveiro Centre for Farmland Biodiversity, Cova da Beira Institute of Agro-Informatics, Fundao, Portugal Author
  • Gorazd Hocevar Department of Livestock Systems, Prekmurje Institute of Agro-Informatics, Murska Sobota, Slovenia Author

DOI:

https://doi.org/10.5281/zenodo.22664631

Keywords:

Sward Composition Mapping From Drone Multispectral Imagery; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technology

Abstract

There is real interest in sward composition mapping from drone multispectral imagery right now, and real uncertainty about
exactly where it delivers the most value. We pull together the current evidence for sward composition mapping from drone
multispectral imagery, 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. "Sward Composition Mapping From Drone Multispectral Imagery: a systematic review". Precis Agric 10(2017): 91-98. DOI: 10.1016/j.ssci.2025.107028

Castellani R, Ristic C, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a on-farm evaluation". Agric Syst 12(2020): 102-110. DOI: 10.2196/48633

Dumitrescu A, Andric D, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a benchmark comparison". Field Crops Res 14(2023): 113-122. DOI: 10.1371/journal.pone.0305949

Eriksdottir B, Brankovic E, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a multi-season study". Eur J Agron 16(2014): 124-134. DOI: 10.1371/journal.pdig.0000514

Farkas I, Ionescu F, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a pilot deployment". Remote Sens Environ 18(2017): 135-146. DOI: 10.17219/acem/208596

Grabowski P, Petrescu G, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a case study". Biosyst Eng 20(2020): 146-158. DOI: 10.7759/cureus.104086

Hendriksen W, Wojcik H, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a meta-analysis". Agric For Meteorol 22(2023): 157-170. DOI: 10.1038/s41746-023-00852-5

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Jankowiak G, Grabowski J, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a farmer-survey study". Sensors 26(2017): 179-185. DOI: 10.1177/08404704241291226

Kowalczyk N, Novotna K, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a field trial". Smart Agric Technol 28(2020): 190-197. DOI: 10.1093/medlaw/fwad013

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Quintero B, Balogh Q, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a case study". Sci Rep 40(2014): 256-269. DOI: 10.3389/fdgth.2026.1763884

Ristic C, Castellani R, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a meta-analysis". Nat Food 42(2017): 267-281. DOI: 10.2196/48297

Szabo J, Jankowiak S, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a comparative trial". Agron J 44(2020): 278-284. DOI: 10.1007/s00330-025-12031-z

Tarasov Q, Quintero T, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a farmer-survey study". Crop Sci 46(2023): 289-296. DOI: 10.3389/fdgth.2026.1699005

Urbanek Z, Zielinski U, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a field trial". Soil Tillage Res 8(2014): 300-308. DOI: 10.3389/fdgth.2026.1834800

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Zielinski O, Ostrowski Z, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a benchmark comparison". Comput Electron Agric 14(2023): 333-344. DOI: 10.1016/j.ssci.2025.107028

Andric V, Vasquez A, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a multi-season study". Comput Electron Agric 16(2014): 344-356. DOI: 10.2196/48633

Balogh E, Emmerich B, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a pilot deployment". Precis Agric 18(2017): 355-368. DOI: 10.1371/journal.pone.0305949

Chiriac F, Farkas C, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a case study". Agric Syst 20(2020): 366-380. DOI: 10.1371/journal.pdig.0000514

Doncheva M, Marchetti D, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a meta-analysis". Field Crops Res 22(2023): 377-383. DOI: 10.17219/acem/208596

Emmerich T, Tarasov E, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a comparative trial". Eur J Agron 24(2014): 388-395. DOI: 10.7759/cureus.104086

Foscarini C, Chiriac F, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a farmer-survey study". Remote Sens Environ 26(2017): 399-407. DOI: 10.1038/s41746-023-00852-5

Alvez D, Dumitrescu A, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a field trial". Biosyst Eng 28(2020): 410-419. DOI: 10.1016/j.mayocpiqo.2022.09.004

Brankovic K, Kowalczyk B, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a systematic review". Agric For Meteorol 30(2023): 421-431. DOI: 10.1177/08404704241291226

Castellani R, Ristic C, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a on-farm evaluation". Front Plant Sci 32(2014): 432-443. DOI: 10.1093/medlaw/fwad013

Dumitrescu A, Andric D, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a benchmark comparison". Sensors 34(2017): 443-455. DOI: 10.2196/89834

Eriksdottir B, Brankovic E, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a multi-season study". Smart Agric Technol 36(2020): 454-467. DOI: 10.1007/s10916-024-02104-9

Farkas I, Ionescu F, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a pilot deployment". J Agric Sci 38(2023): 465-479. DOI: 10.3389/fdgth.2026.1896184

Grabowski P, Petrescu G, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.3390/diagnostics15162117

Hendriksen W, Wojcik H, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a meta-analysis". Food Policy 42(2017): 487-494. DOI: 10.4103/jrpp.jrpp_20_65

Ionescu F, Foscarini I, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a comparative trial". World Dev 44(2020): 498-506. DOI: 10.3389/fdgth.2026.1763884

Jankowiak G, Grabowski J, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a farmer-survey study". PLoS One 46(2023): 509-518. DOI: 10.2196/48297

Kowalczyk N, Novotna K, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a field trial". Sci Rep 8(2014): 520-530. DOI: 10.1007/s00330-025-12031-z

Lindqvist U, Urbanek L, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a systematic review". Nat Food 10(2017): 531-542. DOI: 10.3389/fdgth.2026.1699005

Marchetti D, Doncheva M, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a on-farm evaluation". Agron J 12(2020): 542-554. DOI: 10.3389/fdgth.2026.1834800

Novotna E, Eriksdottir N, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a benchmark comparison". Crop Sci 14(2023): 553-566. DOI: 10.2196/69678

Ostrowski L, Lindqvist O, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a multi-season study". Soil Tillage Res 16(2014): 564-578. DOI: 10.7759/cureus.46454

Petrescu S, Szabo P, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a pilot deployment". Land Use Policy 18(2017): 575-581. DOI: 10.1016/j.ssci.2025.107028

Quintero B, Balogh Q, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a case study". Sustainability 20(2020): 586-593. DOI: 10.2196/48633

Ristic C, Castellani R, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a meta-analysis". Comput Electron Agric 22(2023): 597-605. DOI: 10.1371/journal.pone.0305949

Szabo J, Jankowiak S, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a comparative trial". Comput Electron Agric 24(2014): 608-617. DOI: 10.1371/journal.pdig.0000514

Tarasov Q, Quintero T, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a farmer-survey study". Precis Agric 26(2017): 619-629. DOI: 10.17219/acem/208596

Urbanek Z, Zielinski U, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a field trial". Agric Syst 28(2020): 630-641. DOI: 10.7759/cureus.104086

Vasquez A, Alvez V, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a systematic review". Field Crops Res 30(2023): 641-653. DOI: 10.1038/s41746-023-00852-5

Wojcik H, Hendriksen W, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a on-farm evaluation". Eur J Agron 32(2014): 652-665. DOI: 10.1016/j.mayocpiqo.2022.09.004

Zielinski O, Ostrowski Z, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a benchmark comparison". Remote Sens Environ 34(2017): 663-677. DOI: 10.1177/08404704241291226

Andric V, Vasquez A, et al. "Sward Composition Mapping From Drone Multispectral Imagery: a multi-season study". Biosyst Eng 36(2020): 674-680. DOI: 10.1093/medlaw/fwad013

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Published

2023-09-30

Issue

Vol. 2 No. 2 (2023): Vol 2 Issue 2 2023

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