In the digital age, innovation knows no bounds, and the aquaculture industry is no exception. As Malaysia's aquaculture sector surges ahead as one of the fastest-growing food industries, the demand for cutting-edge technologies to boost efficiency and productivity is required. Prof. Dr. Alyani Ismail from Universiti Putra Malaysia attempt to leverage the power of artificial intelligence (AI) to revolutionizing aquaculture fish grading process. Despite the rapid advancements in technology, many aquaculture farms in Malaysia still rely on traditional methods for fish grading, such as human eyesight estimates and measurement boards. Recognizing the limitations of these methods, Prof. Dr. Alyani set out to develop an innovative solution that leverages image-based AI to categorize fish into different groups accurately.

The goal of this project is clear: to create an intelligent fish grading mechanism that streamlines the monitoring process for aquaculture farms. By harnessing the potential of AI, particularly in image analysis, the system can automatically categorize fish based on their size and weight without the need for human intervention. This not only improves accuracy but also eliminates the labor-intensive task of manually measuring each fish. Central to the project is the evaluation of underwater fish visuals captured through video footage. Through video-based Machine Learning, the system can estimate the weight of fish while swimming, allowing for continuous monitoring of their growth without disturbing them in their current or natural habitat. Furthermore, by collecting extensive data on fish growth, predictive analytics can be employed to optimize farming practices and maximize yields.

The market potential for this technology is vast, ranging from aquaculture farmers and shrimp producers to researchers in the field. Whether it's in open-ocean aquaculture cages or inland hatcheries, the intelligent fish grading mechanism offers a transformative solution to revolutionize the way we manage and monitor fish populations.

By Dr. Mohamad Rezi Abdul Hamid & Prof. Dr. Alyani Ismail

Date of Input: 06/06/2024 | Updated: 03/07/2025 | puteriamirah