| dc.description.abstract | Humans and technology have been developing continuously from the prehistoric period
to the present, and it has evolved into a key component for assisting with daily tasks in
today’s world of technology. As an approach to fulfilling nutritional needs and a variety
of other necessities, civilizations established agriculture millennia ago. Aquaculture is yet
another important concept in agriculture, where farmers cultivate fish in ponds and tanks
for human consumption. Aquaculture, or fish farming, has long been recognized for its
significance by agriculture, which has its roots in satisfying human needs and it is only one
of the many industries that are undergoing advancements driven by modern technologies.
As technology continues to evolve, Internet of Things (IoT) based aquaculture systems
are gradually replacing traditional fish farming techniques. By applying IoT and AI-
based technologies, the system enables fish farmers to accurately monitor the growth and
wellbeing of fish as well as the water quality, temperature, and pH levels in fish tanks.
This system, which is readily accessible through computers, tablets, and mobile phones,
minimizes manual labor while significantly expanding aquaculture outcomes, resulting in
advantages for the fishery’s marketing industry. The primary objective of this research
project is to explore the prospective benefits associated with implementing IoT and AI
technologies in aquaculture and artificial intelligence utilization in aquaculture worldwide,
focusing on analytical models, AI-powered image recognition and vision-based algorithms
for disease management and sustainable methods to improve awareness of the role that
technology plays in strengthening efficiency and ensuring long-term sustainability for the
aquaculture sector by examining certain scenarios and possible benefits. | en_US |
