Predictive Maintenance for Irrigation Pumps: A Case Study of Failure Modes and Downtime Cost

Authors

  • Cuthbert Widdecombe Department of Irrigation Engineering, Galloway Institute of Agricultural Data Science, Castle Douglas, United Kingdom Author
  • Arnfinn Haaland-Nes Department of Agricultural Engineering, Romerike Centre for Digital Agriculture, Jessheim, Norway Author
  • Iakovos Loucaides Centre for Agricultural Data Science, Kokkinochoria Institute of Agro-Informatics, Paralimni, Cyprus Author

DOI:

https://doi.org/10.5281/zenodo.22666200

Keywords:

Predictive Maintenance for Irrigation Pumps; Agro-informatics; Precision agriculture; Evidence synthesis; On-farm technology

Abstract

Predictive Maintenance for Irrigation Pumps 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 predictive maintenance for
irrigation pumps, 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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Grabowski P, Petrescu G, et al. "Predictive Maintenance for Irrigation Pumps: a case study". Agric Water Manag 40(2014): 476-482. DOI: 10.3389/fdgth.2026.1896184

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Published

2026-09-03

Issue

Vol. 5 No. 2 (2026): vol 5 issue 2 2026

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Articles

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