• Print this page

Project Introduction

In the realm of fish and aquaculture monitoring systems, tools are needed to restore highly turbid images to monitor aquafarms and optimize its feeding process effectively. SAqFeeder aims to optimize the feeding process by developing an intelligent feeding system using computer vision, auditory filtering, and automated actuation, addressing the challenges of water turbidity. The project, spanning from 1 April 2024 to 31 March 2026, aims to (a) design a solar-powered actuation system to easily visualize the feeds from the feeding tray, (b) to regularly estimate the quantity of remaining feeds using computer vision, (c) to develop a dashboard to monitor the health status of the farm, (d) to forecast the best time to feed the aquafarm based on the data collected, and (e) to automate the feeding system. Two small-scale aquafarm beneficiaries are from the Philippines and Brunei.

Project Members

* Project Leader
Project Members
Full Name Department, Institution, Country
Eduardo Jr Duray Piedad * Advanced Science and Technology Institute, Philippines
Franz de Leon Advanced Science and Technology Institute, Philippines
Gerwin Guba Advanced Science and Technology Institute, Philippines
Meryl Regine Algodon Advanced Science and Technology Institute, Philippines
Vanesa Osiana Advanced Science and Technology Institute, Philippines
Tiong Hoo Lim Universiti Teknologi Brunei, Brunei
Nurun Najeebah Az-Zahra binti Pg Dato Seri Setia H Tashim Universiti Teknologi Brunei, Brunei
Muhammad Wafiq Haji Abd Zariful Universiti Teknologi Brunei, Brunei
Norhafizah Binti Pg Hj Muhammad Universiti Teknologi Brunei, Brunei
Ace Zander Antonio Technological University of the Philippines Visayas, Philippine
Gershom Defe Technological University of the Philippines Visayas, Philippine
Gregorio Crisostomo Technological University of the Philippines Visayas, Philippine
Jovel Young Technological University of the Philippines Visayas, Philippine
Eric Malo-oy Technological University of the Philippines Visayas, Philippine
Farhan Bin Mohamed Universiti Teknologi Malaysia, Malaysia
Mohd Shafry Bin Mohd Rahim Universiti Teknologi Malaysia, Malaysia
Chan Vei Siang Universiti Teknologi Malaysia, Malaysia
Kazutaka Kikuta National Institute of Information and Communications Technology, Japan
Ken Murata National Institute of Information and Communications Technology, Japan

Associate Project Members
Full Name Department, Institution, Country
Kathleen P. Trebol MARMI Agricultural Corp., Philippines
Zuhairi Hj Azahari O.D.E Aquaculture & Agriculture Co., Brunei