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역돔 섭식 환경을 고려한 IoT 기반의 양식장 자동화 시스템 개발
하산버라켓모하메드 ( Hassan Barakat Mohamed ),유재현 ( Jae Hyun Yoo ) 한국농공학회 2019 한국농공학회 학술대회초록집 Vol.2019 No.-
The impacts associated with climate change and rapidly increasing global population will significantly affect the future of food security on the planet. This will put a lot of stress on our natural resources and current food sources. One of the key food sources that is going to be greatly affected is fish. Fish is an important source of protein and other vitamins, minerals and oils which we depend on. The increasing popularity of farming fish plays a pivotal role to ensure the global fish supplies maintained. However, there are many challenges for farmers to keep fish resources sustainable. Developing a water quality monitoring system is one of the methods to ensure sustainable management of the fish farm, which can improve issues of fish growth, delay harvest, and fish motility. Low water quality monitoring impacts fish growth, delay harvest, and fish motility. The optimal condition for fish production is dependent on physical, chemical and biological qualities of water. Water quality variables are temperature, pH, alkalinity, turbidity, carbon dioxide, ammonia, nitrate, etc. Among these parameters, the temperature, the dissolved oxygen, the pH and the ammonia are the most critical factors to affect fish production. This study aims to develop an automatic fish feeding system for the Tilapia fish farm that controls the above four key water quality parameters using the Internet of Things systems. The system will provide a user-friendly method for monitoring and controlling fish feeding cycles by sending real-time data to farmers. Fish feeding reaches maximum efficiency if the key water quality parameters are optimized. This enables fishes to better absorb the food and minimizes the feed waste, which could quickly develop into the accumulation of ammonia and other undesirable water quality issues affecting fish production in farms. For the experimental study, an automatic fish feeding system was built consisting of a fish tank, feeder, an aerator, and four sensors (pH, dissolved oxygen, temperature, and ammonia), which are all linked to a central Arduino Uno board. The Arduino board is further connected to an Arduino Wi-Fi board which relays real-time data to a mobile application on a smartphone. The conditions of water quality to be optimized are the temperature, pH, dissolved oxygen, and unionized ammonia, which operates within 26-32℃, 6.1-8.3, 4.86-10.53 mg/l and 0.01-0.05 mg/l, respectively.
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