DEVELOPMENT OF REAL-TIME WATER QUALITY MONITORING SYSTEM OF TILAPIA FISH FARMING

Abstract

Aquaculture plays a very important role in the Malaysian economy. The demand for fish has increased worldwide as populations have grown, incomes have increased, and the nutritional benefits of fish have become better known. Tilapia is an important farmed freshwater fish in Malaysia. With increasing consumer’s acceptance and demand for tilapia fillets, the tilapia farming industry has been steadily expanding in the last few years, with 85 countries producing 1.526 million metric tons in 2003. However, the current method of raising Tilapia in the Malaysia is through fishponds exposed to the weather. Methods for measuring pH, temperature, and ammonia are limited to manually using a chemical test kit. The current application system depends on manually regulating the water quality, so the fish are at risk of harmful situations resulting from unsafe levels of temperature, pH, or ammonia. Thus, this problem can be solved by creating a system that automatically measures and regulates the pH, temperature, and ammonia while computing their factor, to allow the user to measure the behaviour of the parameters at given time, process, send the data to a MATLAB database, and use the data to automatically take corrective action against harmful levels of pH, temperature, ammonia and while notifying the user through Blynk application.