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primary topic: Implementation of Verification and Validation Tests in Malaysia Farm Context for the Precision Aquaculture Framework

Implementation of Verification and Validation Tests in Malaysia Farm Context for the Precision Aquaculture Framework
type: AcademicArticle
type: Article
abstract: This study presents a work on field verification and comprehensive evaluation of a precision aquaculture framework, integrating IoT-enabled monitoring, edge-cloud computing, and federated analytics. The framework is deployed across five selected small- and medium-scale fish farms, each representing distinct environmental and operational conditions. The testing methodology includes system test level, operational acceptance tests (OAT) and user acceptance tests (UAT) to interoperability, system reliability, and usability. Additionally, real-time data collection direct from the sensors and cloud computational analysis will assess the accuracy and predictive capability of the framework in optimizing aquaculture practices. The study follows ISO/IEC/IEEE testing standards in test design and documentation, ensuring reliability and consistency in evaluation, with findings informing future refinements for improved alert, scalability, interoperability, and sustainability. © 2025 IEEE.
date: 2025
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

Yen Lin Chen
type: Person
given name: Yen Lin
family name: Chen

Boonyaik Yaik Ooi
type: Person
given name: Boonyaik Yaik
family name: Ooi

Wai Khuen Cheng
type: Person
given name: Wai Khuen
family name: Cheng

Teik Boon Tan
type: Person
given name: Teik Boon
family name: Tan

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primary topic: Implementation of Verification and Validation Tests in Malaysia Farm Context for the Precision Aquaculture Framework