Water Monitoring System for Aquaculture

• Main Authors: Wang, Yu-Hsiang, 王俞翔
• Other Authors: Ho, Yao-Hua
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/69420079944017058387

碩士 === 國立臺灣師範大學 === 資訊工程學系 === 104 === As global population continues to grow, food product will no longer meet the demand for human consumption. Fisheries and aquaculture contribute to a large portion of food supply and play a crucial role in eliminating hunger, promoting health and reducing poverty. Aquaculture refers to the breeding, rearing, and harvesting of animals and plants in all types of water environments including ponds, rivers, lakes, and the ocean. It is the fastest growing food-producing sector which accounts for nearly 50 percent of the world's food fish. According to Food and Agriculture Organization of the United Nations (FAO), the global aquaculture production has already exceeded the production quantities derived from wild fishery capture. However, aquaculture is still facing number of challenges. One of which is the cost such as aquafeeds (i.e., fish food), electricity, and water. Amount of aquafeeds are usually determined by experienced aqua-farmers. Under feeding can reduce lower growth in size and number of harvested fish. On the other hand, over feeding can results not only waste of money but also deterioration of water quality. In fact, over feeding is one of the main reasons of water deterioration. As water quality deteriorated, water circulation pump needs to be turn on or water needs to be change, depend on the level of water quality. If no action is taken in time, the harvested fish will be lost. All of which increase the cost in aquaculture. In this paper, we proposed a real-time water quality monitoring system for aquaculture. The proposed system predicts the trends in water quality based on the historical monitored sensor data, i.e., Oxidation-Reduction Potential (ORP), potential Hydrogen (pH), and temperature. Based on the predicted water quality, our system can suggest amount of aquafeeds to dispense into ponds , amount of time to turn on and off water circulation pump, and amount of fresh water need to be exchanged. The proposed system is able predict the water quality and suggest appropriate actions to reduce the cost of aquaculture.