Thứ 7, 25/05/2024

Summary of the project "Sustainable AIoT green energy system with real-time solution for efficient aquaculture (REAS-SEA)".

29/03/2024

On March 27 and 28, 2024, members of the REAS-SEA project participated in a face-to-face meeting at Bac Lieu University, combined with virtual discussions to summarize the project activities, the results achieved and the next collaborative tasks of the members in the future.

Dr. Nguyen Ngoc Mai Khanh – Tokyo University, Japan, presents the project.

The REAS-SEA project, led by Dr. Tran Thi My Hanh from Nha Trang University, is sponsored by the Asean-IVO Fund (Japan) and involves collaborators from 10 units of participating Universities/Institutes/Companies. At Bac Lieu University, Dr. Ngo Duc Luu - Chairman of the University Council and Ms. Nguyen Thi Hong Van, lecturer at the Faculty of Agriculture, are participating members of the REAS-SEA project.

Dr. Tran Thi My Hanh - Nha Trang University (the second one on the left) - project manager

The units participating in the REAS-SEA project include:

1. Nha Trang University, Vietnam, as the host

2. Posts and Telecommunications Institute of Technology, Vietnam

3. Tokyo University, Japan

4. SOITEC Company, Singapore

5. Institute of Information and Communication Technology, Laos

6. Cambodia Digital Technology Academy, Cambodia

7. Ministry of Information and Communications of Vietnam, National Institute of Information and Communication Strategy, Vietnam

8. Multimedia University Malaysia, Malaysia

9. Bac Lieu University, Vietnam

10. LEO Electronics Co., Ltd., Japan

Sponsored by the Asean-IVO Fund (Japan), the project aims to support the rapid growth of the ASEAN aquaculture industry through comprehensive and real-time control solutions. The project utilizes advanced sensors, AIoT, and hybrid energy harvesting to connect and collect various environmental and biological sensor data. The collected data will be used to build an Artificial Intelligence (AI) model based on biological and environmental sensor parameters to provide automatic, comprehensive and real-time control solutions for aquaculturists to reduce high shrimp mortality rates and improve their farm economics. This IoT system features automatic feeding control to help farmers optimize feeding models for growth, control dissolved oxygen levels, chemical and antibiotic usage, reduce water pollution, mortality rates, and feed costs.

The delegation visited the Aquaculture Practice Farm at Bac Lieu University 

During this working session, the delegation also visited the Aquaculture Practice Farm at Bac Lieu University and the high-tech shrimp farming model at Viet-Uc Bac Lieu Joint Stock Company.

Seeing other images at here

The delegation also visited  the high-tech shrimp farming model at Viet-Uc Bac Lieu Joint Stock Company

Reported and photos by Library center of BLU

Translated by Anh Thuy

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