Team details

Team members

Project details

Describe your product and your key goals

<aside> <img src="/icons/apple_blue.svg" alt="/icons/apple_blue.svg" width="40px" /> Precision Aquaculture Solution

A recommender engine adopting a federated learning approach to assist daily fisheries operations. This engine will integrate algorithms to optimize feeding conversion ratios, maintain sustainable water quality, and intelligently monitor aquaculture species growth. Small and medium-scale farmers can receive recommendations by contributing their farm data.

A novel, lightweight Edge-Cloud framework for precision aquaculture that is simple to deploy, low-cost, and low-network-consumption. This will enhance control over processes like water quality monitoring and computer vision-based livestock inspection, facilitating intelligent decision-making cost-effectively with improved data privacy protection.

A one-box solution that automates aquaculture operations, minimizes labor costs and enhances productivity in small and medium-scale fish farms.

</aside>

<aside> <img src="/icons/bell-notification_pink.svg" alt="/icons/bell-notification_pink.svg" width="40px" /> Describe the kinds of help you need the most (funding, expertise, technology, access, etc).

Funding to support and scale the platform and services.
Expert support to solidify the idea and commercialize the services. </aside>

Describe what you need the most

<aside> <img src="/icons/bullseye_green.svg" alt="/icons/bullseye_green.svg" width="40px" /> What you want to achieve by March 2025

Deploy and deliver our Edge-Cloud One-Box Solution to at least 5 aquafarms in Perak state, and have them register for our cloud-based recommender services. </aside>

Describe your customers and the problem you are solving

<aside> <img src="/icons/brain_blue.svg" alt="/icons/brain_blue.svg" width="40px" /> Describe your target customers

Home users interested in basic aquaculture but who lack access to expert services.
Small and medium-scale aquafarmers who want to expand their operations and sustain their businesses but have limited knowledge and technology support. </aside>

<aside> <img src="/icons/emoji-disappointed_pink.svg" alt="/icons/emoji-disappointed_pink.svg" width="40px" /> What pain points are you trying to solve?

For home users: Lack of knowledge about aquaculture and insufficient expert guidance.
For small and medium-scale aquafarmers: Limited access to advanced technology and support, high operational costs, or difficulties in scaling up their operations. </aside>

Photos

The proposed edge-cloud architecture for precision aquaculture with federated learning and data visualization modules deployed on an AWS platform.

Edge-cloud setup at a prawn farming site, with a laptop connected to the cloud via a mobile Wi-Fi hotspot.

Resources and Materials

Wai Khuen Cheng, Jia Cheng Khor, Wei Zheng Liew, Khean Thye Bea, Yen Lin Chen. Integration of Federated Learning and Edge-Cloud Platform for Precision Aquaculture. In IEEE Access, vol. 12, pp. 124974-124989, 2024, doi: 10.1109/ACCESS.2024.3454057.