Robot-assisted Aquaculture and Sustainable Seafood Production for Enhanced Food Security
Shyam Lal
Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Solan, India.
Shashi Bala Ahirwar
Post-Harvest Process and Food Engineering, Colleges of Agricultural Engineering, JNKVV, Jabalpur, M. P. 482004, India.
Seema Kanojia
Department of Food and Nutrition, Era University, Lucknow, India.
Sumit Rai
Centre for Environment Assessment & Climate Change, GB Pant National Institute of Himalayan Environment, Kosi-Katarmal, Almora-263643, Uttarakhand, India.
Vidhya C. S.
Department of Primary Processing Storage and Handling, NIFTEM-Thanjavur, Thanjavur-613005, Tamil Nadu, India.
Swapnil Gupta
School of Management Sciences, Varanasi, UP, India.
Chanda Thapliyal Nautiyal *
Department of Higher Education, Uttarakhand, India.
Pankaj Nautiyal
ICAR-CSSRI, KVK Hardoi II, UP, India.
*Author to whom correspondence should be addressed.
Abstract
This paper explores the integration of robotics in aquaculture practices to achieve sustainable seafood production, thereby enhancing global food security. With the increasing demand for seafood and the challenges posed by overfishing and environmental changes, innovative solutions are required to ensure a consistent supply of high-quality seafood. Robotic technologies offer promising avenues for optimizing various aspects of aquaculture, including monitoring, feeding, disease detection, and habitat management. Through a comprehensive review of recent advancements and case studies, this paper highlights the potential benefits, challenges, and future directions of robot-assisted aquaculture systems. By leveraging automation, data analytics, and artificial intelligence, the aquaculture industry can achieve greater efficiency, reduced environmental impact, and enhanced seafood availability, ultimately contributing to improved food security on a global scale.
Keywords: Robotics, aquaculture, sustainable seafood, food security, automation, artificial intelligence