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Automation, Robotics, and Artificial Intelligence in Seafood Processing: Advancements, Challenges, and Future
Krishan Kumar Yadav1, Sanjeev Sharma1, Naresh Kumar Mehta2
1College of Fisheries Science, CCS Haryana Agricultural University, Hisar, Haryana, India.
Journal of Food Science
|July 20, 2026
Summary
Automation and robotics enhance seafood processing efficiency, quality, and safety. Technologies like AI and blockchain are key to developing smart seafood factories, despite implementation challenges.
Area of Science:
- Food Science and Technology
- Agricultural Engineering
- Industrial Automation
Background:
- The seafood processing industry faces challenges in efficiency, quality control, and traceability.
- Increasing global demand necessitates advanced solutions for sustainable seafood production.
Purpose of the Study:
- To comprehensively review automation and robotics in seafood processing.
- To analyze the integration of technologies like AI, IoT, and blockchain.
- To discuss benefits, challenges, and future trends in smart seafood factories.
Main Methods:
- Literature review of automation and robotics applications in seafood processing.
- Analysis of technologies including computer vision, AI, IoT, and blockchain.
- Examination of intelligent packaging, labeling, and Industry 4.0/5.0 concepts.
Main Results:
- Automation significantly improves efficiency, product quality, food safety, and sustainability.
- Technologies enhance sorting, grading, cutting, packaging, and quality assessment.
- Intelligent systems boost traceability, shelf-life, and cold chain integrity.
Conclusions:
- Digital technologies are pivotal in transforming global seafood processing.
- Smart factories offer reduced labor dependency, increased yield, and waste reduction.
- Future trends like soft robotics and predictive analytics will further revolutionize the industry.