投资建设，落地淮北杜集区经济开发区，一期项目建成智能果蔬罐头生产线，年产能达5万吨，主打黄桃罐头、什锦水果罐头等高端产品。生产线采用全自动化智能生产设备，从原料清洗、分选、装罐、杀菌到成品包装实现全程机
化、智能化管控，产品品质稳定性和生产效率大幅提升。项目相关负责人表示，选择落户淮北杜集，正是看中皖北地区丰富的果蔬原料资源和优越的区位交通优势。淮北及周边黄桃、梨、苹果等水果种植面积大、品质优良，可为
本文作者：中国食品报融媒体
原文链接：http://m.toutiao.com/group/7657772514042593828/?upstream_biz=VolcEngine
Soy sauce factory adopts advanced AI technology in Foshan, China’s Guangdong
Source: Xinhua
Editor: huaxia
2026-07-04 18:49:24
Staff members inspect product quality at the Gaoming factory of Foshan Haitian Flavouring and Food Co., Ltd. in Foshan, south China’s Guangdong Province, July 4, 2026.
The Gaoming factory is recognized as “Lighthouse Factory” in the soy sauce industry due to the advanced AI technology and equipment it has adopted. It uses AI-powered image recognition technology to screen over 13,000 soybeans per second, and AI-powered precision filling technology to achieve zero-error
原文链接：https://english.news.cn/20260704/13b7dbf399184335b5ee00db33f3745b/c.html
技术创新和传统产业转型，进一步提高产品的品质和生产效率。
丰岛食品的水果罐头，早已科技感满满。张小忠表示，近年来，企业加大科技投入和产
研发，打造新产品、新理念、新技术、新品牌，国内国外市场占有率不断提高。作为国内首批主导桔子自动剥皮技术研发、基于AI实现桔子自动分瓣功能
食品企业，其自动分瓣技术和自动分瓣机获得国家专利，在保证原料质量的前提下，使分拣更为迅速、精确，这也是这家企业具有强大生产力的主要原
AI Opportunity Assessment
AI Agent Operational Lift for Choice Canning Co. in Sim Place, New Jersey
AI-powered predictive maintenance and quality control on production lines can reduce waste, minimize unplanned downtime, and ensure consistent product quality.
30-50%
Operational Lift — Automated Visual Inspection
Industry analyst estimates
30-50%
Operational Lift — Predictive Maintenance
Industry analyst estimates
15-30%
Operational Lift — Demand & Inventory Forecasting
Industry analyst estimates
15-30%
Operational Lift — Yield Optimization
Industry analyst estimates
Why now
Why food &
原文链接：https://meoadvisors.com/ai-opportunities/choice-canning-co/
头生产线如何实现大批量生产
时间：2026-06-25 阅读：525
在水果深加工领域，桔子罐头始终占据着重要位置。从原料
不仅破损率高，也难以实现规模化替代。
技术破局：从“制造”到“智造”
如今，这一局面已被彻底改写。国内领
先的桔子罐头生产企业通过与科研机构合作，应用机器视觉、人工智能、运动控制等前沿技术，成功研制出具有自
现“智造”升级的核心。智能分瓣设备通过高清摄像头和AI算法，能够精准识别不同品种、不同大小的橘瓣之间的
imit their usefulness in remote or resource-constrained farming sites. To overcome these limitations, this paper proposes an edge-intelligence framework for sustainable aquaculture management that tightly integrates TinyML-driven environmental sensing, lightweight vision-based object detection, and AI-enhanced weather forecasting. The proposed architecture deploys low-power Internet of Things (IoT) nodes at pond and cage locations to perform localized acquisition of critical water-quality metrics. These nodes run TinyML models to perform preliminary data validation, anomaly screening, and comp
原文链接：https://ideas.repec.org/a/jbh/ijsrcs/v12y2026i5id2149.html
TECH PULSE ROBOTICS
OctaPulse Deploys AI-Powered Robotics for Automated Fish Inspection in North American Hatcheries
OctaPulse is revolutionizing aquaculture with **AI-powered robotics** that automate fish inspection in North American hatcheries-cutting inspection time from five minutes to under 30 seconds with over 90% accuracy. By integrating edge AI, computer vision, and gentle robotic handling, the system delivers scalable, non-invasive phenotyping data, solving long-standing bottlenecks in selective breeding and quality control.
Hiren Dave
Founder
Mar 3, 2026
AI-generated illustration for
ot and Mechanical Automation, Guangdong Province, Dawang, China
Correspondence:
Chagyou Li (lichyx@scau.edu.cn)
Gomaa Galal Abd El-wahhab (galal_gomaa@azhar.edu.eg)
Mohamed Fawzi Abdelshafie Abuhussein,
Mohamed Fawzi Abdelshafie Abuhussein
Tutankhamun Research School for Artificial Intelligence (TRSAI), Cairo, Egypt
Elwan Ali Darwish,
Elwan Ali Darwish
College of Agricultural Engineering, Al-Azhar University, Cairo, Egypt
Gomaa Galal Abd El-wahhab
,
Corresponding Author
Gomaa Galal Abd El-wahhab
galal_gomaa@azhar.edu.eg
College of Agricultural Engineering, Al-Azhar University, Cairo, Egypt
Cor
原文链接：https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/jfpe.70148
要形成“吃得好、吃得营养、吃得安全”的多元化供给保障体系。要实现这一目标，用科技赋能农业是关键之举。
水产品是大食物结构的重要组成部分。传统水产养殖长期受困于“看天吃饭”、抗生素残留、品质不稳等难题。如
每只青蟹都入住“单间”，智能监测水温、水质数据。为了更精准地掌握青蟹的状态，我们与浙江大学合作研发了AI巡检机器人，通过捕捉青蟹眼部神经元的波动和胡须摆动，判断其活力与生长状况，精准率高达98%。正是在这些
原文链接：http://tz.zjol.com.cn/tzxw/202610/t20261026_31988185.shtml
全链智赋渔产革新｜软江图灵打造远洋捕捞与水产加工AI智能平台海洋渔业是蓝色经济的核心支柱，是农产品供应链与海洋制造业高质量发展的关键赛道。当前，我国远洋捕捞与水产加工行业正面临传统作业模式粗放、数据碎片化
、研发效率偏低、人才培育滞后、产业链协同不足等痛点，传统人工经验主导的生产模式，难以适配现代化、标准化、智能化的产业转型需求，行业亟需一套覆盖全流程、产学研用一体化的智能化解决方案，破解产业提质增效瓶
本文作者：人工智能AI小报童
原文链接：http://m.toutiao.com/group/7675550373486101028/?upstream_biz=VolcEngine