Akademik Veri Yönetim Sistemi
ISPEC 10th INTERNATIONAL CONFERENCE ON AGRICULTURE, ANIMAL SCIENCES AND RURAL DEVELOPMENT, Sivas, Türkiye, 18 Temmuz 2022, (Tam Metin Bildiri)
Today, aquaculture is not as simple as it seems, even though it is a large industry in its own right that has spread widely around the world. With the emergence of innovative technologies in aquaculture, fish farming technology has realized that it needs to pave the way for more technology to improve itself and has become one of the fastest growing sectors of today with technological developments. In order to meet the developing demand, follow the quality and try to increase the production, the production phase has started to be computerized as much as possible in order to close the increasing workforce deficit. While the volume has reached extraordinary levels with industrial production, production sites and production methods have become impossible only with traditional personnel management. It has become a huge risk to leave the production management to the responsibility of a few people in the process where the investment has increased so much and the competition has accelerated as much as possible. One of the biggest applications of AI, predictive analytics is paving the way for aquaculture operators to not only plan their upcoming actions, but also work towards predicted concepts so that they can do what's best for their fish. By using predictive analytics, one can certainly gain insights into possible future outcomes and prepare for them. Like any other field, aquaculture can benefit greatly from the application of only predictive measures alone. Today, the use of artificial intelligence is increasing in the aquaculture sector in challenging subjects such as production of feed, feeding units, aeration tools, remote monitoring and maintenance units, smart sensors, growth statistics, temperature measurements and optimization, predictive measurements, water quality balancing, intensive data analysis. While the implementation of artificial intelligence depends on many infrastructure conditions, it also requires the help of qualified experts and trainers, and it is a fact that there is a serious service requirement. In the future, many applications will be brought to the agenda on this subject and more investments will be made in this topic.