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2026
Bonnie Waycott
New solutions are helping fisheries deliver higher-quality products with greater efficiency
Shinkei Systems’ Poseidon is about the size of a common household refrigerator and sits on fishing boat decks. Photo courtesy of Shinkei Systems.
Technology and artificial intelligence (AI) are taking hold across fisheries, improving operations and benefiting consumers. Smarter sorting, real-time freshness monitoring and digital traceability each ensure that seafood reaches customers in better condition with greater consistency and transparency. The result is a more trustworthy sup

原文链接：https://www.globalseafood.org/advocate/how-technology-is-improving-seafood-quality-and-consumer-satisfaction/

Comprehensive Reviews in Food Science and Food Safety
Volume 25, Issue 3 e70462
COMPREHENSIVE REVIEW
AI-Driven Farm-To-Fork Biofilm Detection and Control in Aquatic Foods: From Industry 4.0 to Industry 5.0
Md. Ashikur Rahman,
Md. Ashikur Rahman
orcid.org/0000-0002-0359-6239
Food Safety and Regulatory Science, Chung-Ang University, Anseong-Si, Republic of Korea
Bangladesh Fisheries Research Institute, Mymensingh, Bangladesh
Contribution: Conceptualization, Methodology, Visualization, Writing – original draft, Formal analysis, Software
Shirin Akter ,
Shirin Akter
orcid.org/0000-0003-1543-4832
F

原文链接：https://ift.onlinelibrary.wiley.com/doi/abs/10.1111/1541-4337.70462

品企业搭建专属数智化管理体系，既降低中小企业数字化转型门槛，又满足头部企业全流程精细化管控需求，让科技赋能食安落地更贴合产业实际。　　在生产管控智能化层面，质臻科技打造的智慧监管平台，融合物联网传感、AI智能识别技术，实现对食品生产环节的实时数据采集与风险预警。从水产加工车间的温湿度精准把控、操作流程规范识别，到餐饮后厨的“明厨亮灶”智能监控，平台可对各类不规范操作、环境指标异常等问题进行秒级识别、
本文作者：中国食品报

原文链接：http://m.toutiao.com/group/7605058583117562408/?upstream_biz=VolcEngine

od processing plants, from machine-vision grading and defect detection to yield optimization, demand forecasting, and predictive maintenance. These tools help processors reduce trimming loss, improve consistency, monitor hygiene risks, and better match production with retail and foodservice demand.
AI is also increasingly relevant to traceability and compliance. FDA’s Food Traceability Rule under FSMA Section 204 and EU controls on illegal, unreported, and unregulated fishing are pushing companies toward stronger digital recordkeeping, where AI can flag anomalies in sourcing, labeling, tempera

原文链接：https://www.giiresearch.com/report/ires2086272-processed-seafood-market-by-product-type-form.html

Project Poster IASAI – Image Analytics for Seafood machinery using AI
Creators
Di Nicola, Luca (Project leader) 1
1. GO INFOTEAM
Contributors
Researcher:
Mercuri, Francesco 1
1. DAIMON Team @CNR
Description
Image Analytics for Seafood machinery using AI
Recognition of fish species by means of AI systems through the image of the products
The project aims to develop a machine learning system for the recognition of fish species.
In the field of intelligent manufacturing, the application context is that of technological innovation in the agri-food industry, in the fishing and aquaculture supply ch

原文链接：https://zenodo.org/records/14838212

nd for high-quality proteins. However, conventional production models remain constrained by multifaceted impediments, including disease outbreaks, environmental stressors, microbial contamination, and operational inefficiencies in processing, quality control, and logistics. Artificial intelligence (AI) offers targeted methodological solutions to these challenges. From a functional perspective, this review categorizes artificial intelligence into four major types: perception, prediction, control, and generation, and systematically evaluates its application progress in aquaculture, processing, q

原文链接：https://researchprofiles.ku.dk/en/publications/application-of-artificial-intelligence-in-aquaculture-processing-/

—
title: 走进广东灯塔工厂：传统制造如何“智”变？
source: 21世纪经济报道
datetime: 2026-07-06T19:55:30+08:00
importance: 0
canonical_url: https://finance.sina.com.cn/stock/relnews/cn/2026-07-06/doc-inifwscu8576259.shtml
—
南方财经记者谭砚文报道
走进海天
单日可检测样品数量有限，难以匹配灯塔工厂24小时不间断规模化生产需求。
为解决行业痛点，海天自主研发了“AI电子鼻”，将老师傅的品鉴经验录入AI模型，采集170多种香气数据，构建了“酱油香气库”。
“设备工作时，传

原文链接：https://finance.sina.com.cn/stock/relnews/cn/2026-07-06/doc-inifwscu8576259.shtml.md

nd for high-quality proteins. However, conventional production models remain constrained by multifaceted impediments, including disease outbreaks, environmental stressors, microbial contamination, and operational inefficiencies in processing, quality control, and logistics. Artificial intelligence (AI) offers targeted methodological solutions to these challenges. From a functional perspective, this review categorizes artificial intelligence into four major types: perception, prediction, control, and generation, and systematically evaluates its application progress in aquaculture, processing, q

原文链接：https://researchprofiles.ku.dk/da/publications/application-of-artificial-intelligence-in-aquaculture-processing-/

化新时代。
（二） 加工端AI质检：机器视觉+CNN算法，实现产品品质智能化管控
国联水产引入卷积神经网络（CNN）AI质检技术，针对水产品加工环节的品质检测、新鲜度判别等核心需求，实现非破坏性、高效率检测，解决传统人
质检效率低、误差大的痛点。
1. 核心AI技术应用
◦ 水产品新鲜度AI检测：采用VGG16、ResNet50等主流CNN模型，通过机器视觉捕捉鱼眼虹膜纹理、皮肤脂肪层结构等特征，区分新鲜与冻融水产品，准确率达96.8%，较传统检测方法效率提

原文链接：https://www.jiuyangongshe.com/h5/article/1zzvgqtt5ev

能够实时监控货物的运输状态，优化配送路线，减少运输时间。例如，某虾罐头制造商通过引入AI物流系统，将配送时间缩短了10%，同时降低了物流成本
5%。AI系统还可以通过分析历史数据，预测高峰期和需求波动，从而提前调整运输资源，确保供应链的稳定性。 (3) AI技术在客户服务方面的应用也提升了
罐头企业的服务水平。通过聊天机器人和虚拟助手，企业能够提供24/7的客户服务，解答消费者的疑问，处理订单问题。某虾罐头品牌在其官方网站和移

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4859206923