Globally, more than 250 million people depend directly on fisheries and aqua culture for their livelihoods and millions are employed in fisheries and aquaculture value chains. Sustainable, productive fisheries and aquaculture improve food and nutrition security, increase income and improve livelihoods, promote economic growth and protect our environment and natural resources. However, fish is exposed to disease due to the environment conditions. For example, parasites and bacteria is the main factor of fish disease.
This project is a collaboration of School of Computer Sciences and School of Biological Sciences, Universiti Sains Malaysia. Assoc. Professor Dr. Zary Shariman Yahya from School of Biological Sciences is a collaborator for this project. This project focusing more on recognizing fish diseases that is caused by parasites and bacteria in Southeast Asia. This project is proposed for those involved in fisheries industries or researches in order to recognise fish disease in easy and efficient way.
Fish Disease Recognition System (FDRS) is an entirely new project and has never been developed before. It consists of 3 main modules: mobile application module, cloud server module, and fish image recognition module. The system utilizes deep learning algorithms to be able to recognize fish disease types and names by processing captured or uploaded fish images. This project will give users of this system the ability to identify fish disease type and names by using their smartphones. Development of this system may able to prevent fish disease from spreading at early stage, thus can avoid fish mortality.