Evidence map›Paper›PMID 42473126›Full record

ReviewJournal of food science2026

Automation, Robotics, and Artificial Intelligence in Seafood Processing: Advancements, Challenges, and Future Prospects.

Krishan Kumar Yadav, Sanjeev Sharma, Naresh Kumar Mehta, Nitish Bansal, Saswat Mohanty, Pallavi Bhalavey, Tanuja Kulshrestha, Aditya Singh

Abstract readReview
In one paragraph

Review in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Krishan Kumar YadavCollege of Fisheries Science, CCS Haryana Agricultural University, Hisar, Haryana, India.
Sanjeev SharmaCollege of Fisheries Science, CCS Haryana Agricultural University, Hisar, Haryana, India.ORCID https://orcid.org/0000-0003-1124-1275
Naresh Kumar MehtaCollege of Fisheries, Central Agricultural University (Imphal), Agartala, Tripura, India.
Nitish BansalCollege of Fisheries Science, CCS Haryana Agricultural University, Hisar, Haryana, India.
Saswat MohantyCollege of Fisheries, Central Agricultural University (Imphal), Agartala, Tripura, India.
Pallavi BhalaveyCollege of Fisheries Science, CCS Haryana Agricultural University, Hisar, Haryana, India.
Tanuja KulshresthaFaculty of Fishery Science, West Bengal University of Animal and Fishery Sciences, Kolkata, West Bengal, India.
Aditya SinghCollege of Fisheries, Central Agricultural University (Imphal), Agartala, Tripura, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review presents a comprehensive analysis of automation and robotics in the seafood processing industry, emphasizing their role in enhancing efficiency, product quality, food safety, and sustainability. It explores the application of advanced technologies such as robotics, blockchain, computer vision, artificial intelligence (AI), and the Internet of Things (IoT) across various stages of seafood processing, including sorting, cleaning, grading, cutting, filleting, packaging, and quality assessment. The review highlights the emergence of intelligent packaging and labeling systems that improve traceability, extend shelf life, and support cold chain integrity. Key benefits of automation such as reduced labor dependency, increased yield, improved hygiene, and waste reduction are discussed alongside industry challenges, including high implementation costs, technical integration issues, and regulatory constraints. Additionally, the review examines future trends such as soft robotics, predictive analytics, and cloud-based monitoring, which are shaping the next generation of smart seafood factories. Unlike previous generalized reviews on food automation, this review provides a seafood-processing-specific synthesis integrating robotics, AI, machine vision, smart packaging, blockchain traceability, and Industry 4.0/5.0 technologies with critical discussion of industrial implementation challenges and future smart factory applications. Overall, it underscores the pivotal role of digital technologies in transforming global seafood processing systems.

Indexed as

Artificial IntelligenceAutomationFood HandlingRoboticsSeafoodFood PackagingFood Safetyartificial intelligenceautomationroboticsseafood processingsmart packaging

Identifiers

PMID42473126
PMCPMC13382101

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.