Development of an IoT-supported predictive maintenance system for agricultural irrigation pumps: A machine learning approach

İnayet Özge Aksu, İrfan Öktem, Tuğçe Demi, Department of Artificial Intelligence Engineering, Adana Alparslan Türkeş Science and Technology University, Department of Electrical and Electronic Engineering, Adana Alparslan Türkeş Science and Technology University

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy

Published online on December 26, 2025

Abstract

Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Ahead of Print.
Periodic maintenance of irrigation pumps used in rural areas is costly and time consuming. By obtaining real-time information, potential problems can be detected in advance. The aim of this study is to instantly monitor the performance of the pump ...