TY  - CONF
TI  - Implementation of Verification and Validation Tests in Malaysia Farm Context for the Precision Aquaculture Framework
Y1  - 2025///
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-105022421072&doi=10.1109%2FICCE-Taiwan66881.2025.11207890&partnerID=40&md5=382d56140a32c42b29a2cead42a489ec
EP  -  52
PB  - Institute of Electrical and Electronics Engineers Inc.
N1  - Cited by: 0
A1  - Tan, Teik Boon
A1  - Cheng, Wai Khuen
A1  - Ooi, Boonyaik Yaik
A1  - Chen, Yen Lin
SP  - 51 
AV  - none
SN  - 9798331587413
ID  - scholars20416
KW  - Aquaculture; Edge computing; Internet of things; Interoperability; ISO Standards; Reliability; Field verifications; Interoperability test; IoT testing; Operational acceptance test; Precision aquaculture framework; User acceptance test; Users' acceptance; Validation test; Verification tests; Verification-and-validation; Acceptance tests
N2  - 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.
ER  -