Real-time FFB ripeness detection using IoT-enabled YOLOv8n  on Raspberry Pi 4 edge devices for precision agriculture

Nurul Hazlina Noordin; Rosdiyana Samad; Abdul Haikal Abdul Malek; Nurul Hazlina Noordin; Rosdiyana Samad; Abdul Haikal Abdul Malek

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About The Authors

Nurul Hazlina Noordin
http://orcid.org/0000-0002-5710-8368

UMPSA STEM Lab, Universiti Malaysia Pahang Al-Sultan Abdullah
Malaysia

Nurul Hazlina Noordin holds a PhD in Electrical and Electronics Engineering from the University of Edinburgh in 2013. Currently, she is affiliated with the Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), serving as an Associate Professor in the Faculty of Electrical and Electronics Engineering Technology, and leads UMPSA STEM Lab. Her research focus includes Antenna Design, FPGA Implementation and Design, Adaptive Arrays, Beamforming Algorithms, and Engineering Education. She actively collaborates with both local and international agencies, advancing research with institutions including the Ministry of Higher Education Malaysia, Malaysia Digital Economy Corporation, the British Council, UNESCO, and IBM. Her dedication extends to both research and education through her roles in academia and her commitment to STEM outreach programs, especially in nurturing future engineering professionals.

Rosdiyana Samad
UMPSA STEM Lab, Universiti Malaysia Pahang Al-Sultan Abdullah
Malaysia

Rosdiyana Samad is a senior lecturer in the Faculty of Electrical and Electronics Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.

Abdul Haikal Abdul Malek
UMPSA STEM Lab, Universiti Malaysia Pahang Al-Sultan Abdullah
Malaysia

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