Application of a genetic-fuzzy FMEA to rainfed lowland rice production in Sarawak: environmental, health, and safety perspectives

Sang, Anisia Jati, Tay, Kai Meng, Lim, Chee Peng and Nahavandi, Saeid 2018, Application of a genetic-fuzzy FMEA to rainfed lowland rice production in Sarawak: environmental, health, and safety perspectives, IEEE access, vol. 6, pp. 74628-74647, doi: 10.1109/ACCESS.2018.2883115.

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Title Application of a genetic-fuzzy FMEA to rainfed lowland rice production in Sarawak: environmental, health, and safety perspectives
Author(s) Sang, Anisia Jati
Tay, Kai Meng
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name IEEE access
Volume number 6
Start page 74628
End page 74647
Total pages 20
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2018
ISSN 2169-3536
Keyword(s) Borneo
fuzzy failure mode and effect analysis
genetic algorithm
monotone fuzzy rule relabeling
rice production
safety
health
environment
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Summary Rainfed lowland rice is the most popular choice for rice cultivation in Sarawak, Borneo. In general, rice production in Sarawak consists of seven phases, namely, preparing land, establishing crop, transplanting, managing crop, harvesting, post-harvesting, and milling. Most farmers in Sarawak depend on indigenous knowledge and experience for rice cultivation. In this paper, an improved fuzzy failure mode and effect analysis (FMEA) with genetic algorithm-based design of fuzzy membership functions and monotone fuzzy rules relabeling is employed as a knowledge-based tool for risk analysis and assessment pertaining to rice production in Sarawak. The specific focus is on issues related to the environment as well as health and safety of farmers and consumers. With the support from the Sarawak Government, we analyze useful data and information pertaining to various rice fields from experienced farmers to develop the fuzzy FMEA model. Specifically, we develop fuzzy FMEA to inculcate the best practices for farmers to improve yield and enhance food safety. Through this paper, we identify that musculoskeletal disorders due to bad postures is the most noticeable occupational health hazard; as a result, new techniques and tools are invented and introduced to mitigate this risk. In summary, this is a new attempt to implement a quality and risk assessment tool that contributes toward enhancing rice productivity in Sarawak, and modernizing the local agricultural sector.
Language eng
DOI 10.1109/ACCESS.2018.2883115
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2018, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118456

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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