Artificial Intelligence in Fisheries and Aquaculture: Enhancing Sustainability and Productivity
Hari Prasad Mohale
Fisheries College & Research Institute, TNJFU, Thoothukudi, 628 008, Tamil Nadu, India.
Swapnil Ananda Narsale *
Fisheries College & Research Institute, TNJFU, Thoothukudi, 628 008, Tamil Nadu, India.
Rishikesh Venkatrao Kadam
Fisheries College & Research Institute, TNJFU, Thoothukudi, 628 008, Tamil Nadu, India.
Patekar Prakash
ICAR — Central Institute of Fisheries Education, Mumbai 400061, Maharashtra, India.
Samad Sheikh
ICAR — Central Institute of Fisheries Education, Mumbai 400061, Maharashtra, India.
Chovatia Ravikumar Mansukhbhai
Kerala University of Fisheries and Ocean Studies, Kochi, 682506, Kerala, India.
Parmar Bindiya Kirtikumar
Kerala University of Fisheries and Ocean Studies, Kochi, 682506, Kerala, India.
Ravi Baraiya
Kerala University of Fisheries and Ocean Studies, Kochi, 682506, Kerala, India.
*Author to whom correspondence should be addressed.
Abstract
According to its definition, artificial intelligence (AI) is "the future built from fragments of the past." These are applications that acquire novel solutions with practice. Artificial intelligence has been used in various disciplines, from agriculture to full industry automation. Thanks to AI, aquaculture has become a less labor-intensive industry, enabling the fisheries sector to grow quickly and triple production quickly. It can appear as any laborer at work, such as feeders, water quality monitors, harvesters, processors, etc. AI can even be employed to protect aquatic life types from extinction. AI monitors fishing activity worldwide and promotes open sea fisheries' sustainability. AI plays a significant role in combating IUU fishing. Artificial intelligence (AI) can be used in aquaculture to limit input waste and cut costs by up to 30%. As a result, AI offers total control over fish production systems at a lower maintenance and input cost. AI's integration into aquaculture has transformed the industry, enabled sustainable growth, increased productivity and cost savings while minimizing environmental impact and labor requirements. Through the application of AI technologies, aquaculture can meet the growing demand for seafood while addressing challenges such as overfishing, environmental degradation, and resource scarcity.
Keywords: Artificial intelligence, application, fisheries, aquaculture