Edge Inference on Battery-Powered Field Devices: A Technical Note on Duty Cycling and Model Size

Authors

  • Palmira Dossena Department of Agricultural Instrumentation, Oltrepo Centre for Digital Agriculture, Voghera, Italy Author
  • Cyriel Bogaerts-Sme Centre for Agricultural Data Science, Hesbaye Centre for Digital Agriculture, Waremme, Belgium Author
  • Prudence Trantham Department of Agricultural Instrumentation, Holderness Centre for Digital Agriculture, Beverley, United Kingdom Author

DOI:

https://doi.org/10.5281/zenodo.22665005

Keywords:

Edge Inference on Battery-Powered Field Devices; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technology

Abstract

Edge Inference on Battery-Powered Field Devices 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 edge inference on
battery-powered field devices, 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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Brankovic K, Kowalczyk B, et al. "Edge Inference on Battery-Powered Field Devices: a systematic review". Agric For Meteorol 30(2023): 421-431. DOI: 10.1016/j.ssci.2025.107028

Castellani R, Ristic C, et al. "Edge Inference on Battery-Powered Field Devices: a on-farm evaluation". Front Plant Sci 32(2014): 432-443. DOI: 10.2196/48633

Dumitrescu A, Andric D, et al. "Edge Inference on Battery-Powered Field Devices: a benchmark comparison". Sensors 34(2017): 443-455. DOI: 10.1371/journal.pone.0305949

Eriksdottir B, Brankovic E, et al. "Edge Inference on Battery-Powered Field Devices: a multi-season study". Smart Agric Technol 36(2020): 454-467. DOI: 10.1371/journal.pdig.0000514

Farkas I, Ionescu F, et al. "Edge Inference on Battery-Powered Field Devices: a pilot deployment". J Agric Sci 38(2023): 465-479. DOI: 10.17219/acem/208596

Grabowski P, Petrescu G, et al. "Edge Inference on Battery-Powered Field Devices: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.7759/cureus.104086

Hendriksen W, Wojcik H, et al. "Edge Inference on Battery-Powered Field Devices: a meta-analysis". Food Policy 42(2017): 487-494. DOI: 10.1038/s41746-023-00852-5

Ionescu F, Foscarini I, et al. "Edge Inference on Battery-Powered Field Devices: a comparative trial". World Dev 44(2020): 498-506. DOI: 10.1016/j.mayocpiqo.2022.09.004

Jankowiak G, Grabowski J, et al. "Edge Inference on Battery-Powered Field Devices: a farmer-survey study". PLoS One 46(2023): 509-518. DOI: 10.1177/08404704241291226

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Lindqvist U, Urbanek L, et al. "Edge Inference on Battery-Powered Field Devices: a systematic review". Nat Food 10(2017): 531-542. DOI: 10.2196/89834

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Andric V, Vasquez A, et al. "Edge Inference on Battery-Powered Field Devices: a multi-season study". Biosyst Eng 36(2020): 674-680. DOI: 10.2196/48633

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Published

2025-06-30