Federated Learning Across Farm Data Silos: A Review of Incentives, Governance and Measured Benefit
DOI:
https://doi.org/10.5281/zenodo.22665620Keywords:
Federated Learning Across Farm Data Silos; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technologyAbstract
Federated Learning Across Farm Data Silos 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 federated learning across farm
data silos, 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
Alvez D, Dumitrescu A, et al. "Federated Learning Across Farm Data Silos: a field trial". Comput Electron Agric 8(2014): 80-86. DOI: 10.1007/s00330-025-12031-z
Brankovic K, Kowalczyk B, et al. "Federated Learning Across Farm Data Silos: a systematic review". Precis Agric 10(2017): 91-98. DOI: 10.3389/fdgth.2026.1699005
Castellani R, Ristic C, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Agric Syst 12(2020): 102-110. DOI: 10.3389/fdgth.2026.1834800
Dumitrescu A, Andric D, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Field Crops Res 14(2023): 113-122. DOI: 10.2196/69678
Eriksdottir B, Brankovic E, et al. "Federated Learning Across Farm Data Silos: a multi-season study". Eur J Agron 16(2014): 124-134. DOI: 10.7759/cureus.46454
Farkas I, Ionescu F, et al. "Federated Learning Across Farm Data Silos: a pilot deployment". Remote Sens Environ 18(2017): 135-146. DOI: 10.1016/j.ssci.2025.107028
Grabowski P, Petrescu G, et al. "Federated Learning Across Farm Data Silos: a case study". Biosyst Eng 20(2020): 146-158. DOI: 10.2196/48633
Hendriksen W, Wojcik H, et al. "Federated Learning Across Farm Data Silos: a meta-analysis". Agric For Meteorol 22(2023): 157-170. DOI: 10.1371/journal.pone.0305949
Ionescu F, Foscarini I, et al. "Federated Learning Across Farm Data Silos: a comparative trial". Front Plant Sci 24(2014): 168-182. DOI:
1371/journal.pdig.0000514 10. Jankowiak G, Grabowski J, et al. "Federated Learning Across Farm Data Silos: a farmer-survey study". Sensors 26(2017): 179-185. DOI: 10.17219/acem/208596
Kowalczyk N, Novotna K, et al. "Federated Learning Across Farm Data Silos: a field trial". Smart Agric Technol 28(2020): 190-197. DOI: 10.7759/cureus.104086
Lindqvist U, Urbanek L, et al. "Federated Learning Across Farm Data Silos: a systematic review". J Agric Sci 30(2023): 201-209. DOI: 10.1038/s41746-023-00852-5
Marchetti D, Doncheva M, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Agric Water Manag 32(2014): 212-221. DOI: 10.1016/j.mayocpiqo.2022.09.004
Novotna E, Eriksdottir N, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Food Policy 34(2017): 223-233. DOI: 10.1177/08404704241291226
Ostrowski L, Lindqvist O, et al. "Federated Learning Across Farm Data Silos: a multi-season study". World Dev 36(2020): 234-245. DOI: 10.1093/medlaw/fwad013
Petrescu S, Szabo P, et al. "Federated Learning Across Farm Data Silos: a pilot deployment". PLoS One 38(2023): 245-257. DOI: 10.2196/89834
Quintero B, Balogh Q, et al. "Federated Learning Across Farm Data Silos: a case study". Sci Rep 40(2014): 256-269. DOI: 10.1007/s10916-024-02104-9
Ristic C, Castellani R, et al. "Federated Learning Across Farm Data Silos: a meta-analysis". Nat Food 42(2017): 267-281. DOI: 10.3389/fdgth.2026.1896184
Szabo J, Jankowiak S, et al. "Federated Learning Across Farm Data Silos: a comparative trial". Agron J 44(2020): 278-284. DOI: 10.3390/diagnostics15162117
Tarasov Q, Quintero T, et al. "Federated Learning Across Farm Data Silos: a farmer-survey study". Crop Sci 46(2023): 289-296. DOI: 10.4103/jrpp.jrpp_20_65
Urbanek Z, Zielinski U, et al. "Federated Learning Across Farm Data Silos: a field trial". Soil Tillage Res 8(2014): 300-308. DOI: 10.3389/fdgth.2026.1763884
Vasquez A, Alvez V, et al. "Federated Learning Across Farm Data Silos: a systematic review". Land Use Policy 10(2017): 311-320. DOI: 10.2196/48297
Wojcik H, Hendriksen W, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Sustainability 12(2020): 322-332. DOI: 10.1007/s00330-025-12031-z
Zielinski O, Ostrowski Z, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Comput Electron Agric 14(2023): 333-344. DOI: 10.3389/fdgth.2026.1699005
Andric V, Vasquez A, et al. "Federated Learning Across Farm Data Silos: a multi-season study". Comput Electron Agric 16(2014): 344-356. DOI: 10.3389/fdgth.2026.1834800
Balogh E, Emmerich B, et al. "Federated Learning Across Farm Data Silos: a pilot deployment". Precis Agric 18(2017): 355-368. DOI: 10.2196/69678
Chiriac F, Farkas C, et al. "Federated Learning Across Farm Data Silos: a case study". Agric Syst 20(2020): 366-380. DOI: 10.7759/cureus.46454
Doncheva M, Marchetti D, et al. "Federated Learning Across Farm Data Silos: a meta-analysis". Field Crops Res 22(2023): 377-383. DOI: 10.1016/j.ssci.2025.107028
Emmerich T, Tarasov E, et al. "Federated Learning Across Farm Data Silos: a comparative trial". Eur J Agron 24(2014): 388-395. DOI: 10.2196/48633
Foscarini C, Chiriac F, et al. "Federated Learning Across Farm Data Silos: a farmer-survey study". Remote Sens Environ 26(2017): 399-407. DOI: 10.1371/journal.pone.0305949
Alvez D, Dumitrescu A, et al. "Federated Learning Across Farm Data Silos: a field trial". Biosyst Eng 28(2020): 410-419. DOI: 10.1371/journal.pdig.0000514
Brankovic K, Kowalczyk B, et al. "Federated Learning Across Farm Data Silos: a systematic review". Agric For Meteorol 30(2023): 421-431. DOI: 10.17219/acem/208596
Castellani R, Ristic C, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Front Plant Sci 32(2014): 432-443. DOI: 10.7759/cureus.104086
Dumitrescu A, Andric D, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Sensors 34(2017): 443-455. DOI: 10.1038/s41746-023-00852-5
Eriksdottir B, Brankovic E, et al. "Federated Learning Across Farm Data Silos: a multi-season study". Smart Agric Technol 36(2020): 454-467. DOI: 10.1016/j.mayocpiqo.2022.09.004
Farkas I, Ionescu F, et al. "Federated Learning Across Farm Data Silos: a pilot deployment". J Agric Sci 38(2023): 465-479. DOI: 10.1177/08404704241291226
Grabowski P, Petrescu G, et al. "Federated Learning Across Farm Data Silos: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.1093/medlaw/fwad013
Hendriksen W, Wojcik H, et al. "Federated Learning Across Farm Data Silos: a meta-analysis". Food Policy 42(2017): 487-494. DOI: 10.2196/89834
Ionescu F, Foscarini I, et al. "Federated Learning Across Farm Data Silos: a comparative trial". World Dev 44(2020): 498-506. DOI: 10.1007/s10916-024-02104-9
Jankowiak G, Grabowski J, et al. "Federated Learning Across Farm Data Silos: a farmer-survey study". PLoS One 46(2023): 509-518. DOI: 10.3389/fdgth.2026.1896184
Kowalczyk N, Novotna K, et al. "Federated Learning Across Farm Data Silos: a field trial". Sci Rep 8(2014): 520-530. DOI: 10.3390/diagnostics15162117
Lindqvist U, Urbanek L, et al. "Federated Learning Across Farm Data Silos: a systematic review". Nat Food 10(2017): 531-542. DOI: 10.4103/jrpp.jrpp_20_65
Marchetti D, Doncheva M, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Agron J 12(2020): 542-554. DOI: 10.3389/fdgth.2026.1763884
Novotna E, Eriksdottir N, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Crop Sci 14(2023): 553-566. DOI: 10.2196/48297
Ostrowski L, Lindqvist O, et al. "Federated Learning Across Farm Data Silos: a multi-season study". Soil Tillage Res 16(2014): 564-578. DOI: 10.1007/s00330-025-12031-z
Petrescu S, Szabo P, et al. "Federated Learning Across Farm Data Silos: a pilot deployment". Land Use Policy 18(2017): 575-581. DOI: 10.3389/fdgth.2026.1699005
Quintero B, Balogh Q, et al. "Federated Learning Across Farm Data Silos: a case study". Sustainability 20(2020): 586-593. DOI: 10.3389/fdgth.2026.1834800
Ristic C, Castellani R, et al. "Federated Learning Across Farm Data Silos: a meta-analysis". Comput Electron Agric 22(2023): 597-605. DOI: 10.2196/69678
Szabo J, Jankowiak S, et al. "Federated Learning Across Farm Data Silos: a comparative trial". Comput Electron Agric 24(2014): 608-617. DOI: 10.7759/cureus.46454
Tarasov Q, Quintero T, et al. "Federated Learning Across Farm Data Silos: a farmer-survey study". Precis Agric 26(2017): 619-629. DOI: 10.1016/j.ssci.2025.107028
Urbanek Z, Zielinski U, et al. "Federated Learning Across Farm Data Silos: a field trial". Agric Syst 28(2020): 630-641. DOI: 10.2196/48633
Vasquez A, Alvez V, et al. "Federated Learning Across Farm Data Silos: a systematic review". Field Crops Res 30(2023): 641-653. DOI: 10.1371/journal.pone.0305949
Wojcik H, Hendriksen W, et al. "Federated Learning Across Farm Data Silos: a on-farm evaluation". Eur J Agron 32(2014): 652-665. DOI: 10.1371/journal.pdig.0000514
Zielinski O, Ostrowski Z, et al. "Federated Learning Across Farm Data Silos: a benchmark comparison". Remote Sens Environ 34(2017): 663-677. DOI: 10.17219/acem/208596
Andric V, Vasquez A, et al. "Federated Learning Across Farm Data Silos: a multi-season study". Biosyst Eng 36(2020): 674-680. DOI: 10.7759/cureus.104086
