Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
---|---|---|
Article Number | 01227 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202343001227 | |
Published online | 06 October 2023 |
Condition Monitoring of Farm Machinery, a Maintenance Strategy for a Sustainable Livestock Production: A Review
1 Department of Mechanical Engineering, Covenant University, Ota, P.M.B 1023, Ogun State, Nigeria
2 Department of Mechanical Engineering Science, University of Johannesburg, South Africa
3 Department of Mechanical & Mechatronics Engineering, Afe Babalola, University P.M.B 5454, Ado-Ekiti, Nigeria
4 Department of Mechanical Engineering, Ogun State Institute of Technology, Igbesa, Ogun State. Nigeria.
* Corresponding author: enesi.salawu@covenantuniversity.edu.ng
The agricultural industry is crucial to the development of the national economy. Inadequate agricultural equipment maintenance could result to a huge economic impact, especially during the harvest period. Thus, this study highlighted on the importance of condition monitoring of agricultural machinery/equipment for enhanced agricultural productions. The study established that adequate condition monitoring of agricultural machineries provides reliability data that will help in the implementation of the integrity of maintenance strategies. Additionally, adequate health monitoring of the advanced machineries will help in improving the efficiency of the machines as well as improving the overall agricultural productivity. This study provides great insight to farmers on the way to monitor and maintain the health of their agricultural machineries.
Key words: Maintenance / Condition monitoring / Agricultural production / failure / reliability
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.