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品客薯片生产线上，另一种可食用的 chip 已经从产能和现金回报中验证了 AI 的价值：产能提升 10%，损耗降低 13%，公司称前期投入回报率超过 40%。
为了得到这些数字，品客制造商 Kellanova 联合西门子花了约 4年时间，投入约 400 万至 500 万美元。他们先给薯片面团建立数字孪生，再沿生产线布置
实时数据，让 AI 在面团断裂、粘锅或者拖慢生产之前发出预警。
你平时吃罐装薯片还是袋装薯片更多？对于我们大部分人来说，这两者之间的差别可

原文链接：https://m.weibo.cn/detail/5330095399248308

确保原材料的及时供应。
4. 产品研发与创新
– 配方优化：AI可以通过分析大量的消费者反馈数据和实验结果，帮助
品制造商优化罐头的配方和口味。例如，某企业利用机器学习算法，根据消费者的喜好和健康需求，开发出了更符
市场需求的新型罐头产品。
– 新产品开发：借助AI技术，企业可以更快地开发出新产品。通过对市场趋势、消费者
求等数据的分析，AI系统能够为企业提供有价值的研发方向和建议，缩短新产品的研发周期和上市时间。
综上所述

原文链接：https://www.baogao.com/question/43623.html

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

昆明德和罐头的全新智能工厂里，百年滇式罐头手艺正与AI“联姻”。2026年6月，公司“食品罐头全流程数字化闭环
管控智能工厂”入选云南省先进级智能工厂名单，上游自有黑猪养殖场、中游智能生产基地、下游全域销售网络被
通，构建起从养殖端到商超货架的全链条溯源体系。智能立体仓库、柔性生产线与智能调度系统协同发力，主力产
智能化只是点上的突破，行业大模型的崛起标志着AI赋能制造业进入全局重塑。在磷化工领域，云天化集团与华为
本文作者：九派观天下

原文链接：http://m.toutiao.com/group/7698573524671136297/?upstream_biz=VolcEngine

鲜贝罐头行业AI应用及布局策略深度研究报告.docx
阅读：7次|页数：25页 |上传：2025-04-15 12:36
鲜贝罐头行业AI应用及布局策略深度研究报告 一、鲜贝罐头行业AI应用概述 1.鲜贝罐头行业背景及市场分析 (1)鲜贝罐头作为一种方便快捷
海味食品，在我国有着悠久的历史和广泛的市场需求。近年来，随着消费者生活节奏的加快和对健康饮食的追求，鲜贝罐头行业得到了快速发展。据统计，我国鲜贝罐头市场规模已超过100亿元，年复合增长率达到10%以上。在市场

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4859476279

ate obsolescence risk by strategically prioritizing modernization efforts
Simplify workforce demands with integrated, multi-discipline control
Strengthen cybersecurity by modernizing your architecture
Lower total cost of ownership by integrating process and power control into a single platform
From AI Pilots to Enterprise Impact
FAQ
From AI Pilots to Enterprise Impact
Learn how food and beverage manufacturers can scale AI for measurable business outcomes.
Value-Driven Modernization in Food and Beverage
Ebook
Value-Driven Modernization in Food and Beverage
Discover a two-part framework to get y

原文链接：https://www.rockwellautomation.com/en-se/industries/food-beverage.html

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Summary
The post-harvest food processing requires wide range of novel emerging techniques for efficient production and handling of food. Among these, Artificial intelligence (AI) is catching the attention of businesses across many disciplines and sectors directly and indirectly. AI driven food processing using mechanized inspection and learning methods for improving the food generation model. It is not only analyzes the data digitally, but also accurately replaces most o

原文链接：https://onlinelibrary.wiley.com/doi/full/10.1002/9781119776376.ch14

的智慧农业技术，正在重构传统果园的生产管理模式。中国作为全球最大的水果生产国，2024年果园种植面积达1.8亿亩，但传统管理方式仍面临劳动力短
肥利用率提升35%、单产增加18%的显著效益。
这个系统将包含以下核心功能：
AI智能分析 – 作物健康监测、病虫害识别、产量预测
无人机管理 – 自动巡航
数）与GNDVI（绿归一化植被指数）双指标分析，精准定位缺氮区域。山东寿光蔬菜基地应用显示，该技术使变量施肥决策时间缩短至2小时内。
边缘计算预

原文链接：https://blog.csdn.net/Deng945201314/article/details/149869176

Post-Harvest Technologies and Automation: Al-Driven Innovations in Food Processing and Supply Chains
Author
Listed:
Barnavo Das
Azmirul Hoque
Suranjit Roy
Kundan Kumar
Ahad Ahmed Laskar
Ahmed Sadique Mazumder
Registered:
Abstract
The rapid advancements in artificial intelligence (AI) and automation are transforming post-harvest technologies, offering innovative solutions to improve food quality, safety, and supply chain efficiency. This paper reviews the role of AI-driven innovations in post-harvest food processing and logistics, with a focus on automation, predictive analytics, and quality co

原文链接：https://ideas.repec.org/a/etm/ijsrst/v12y2025i1id556.html

List
Tech & AI
Top 10: AI in Food Manufacturing
By Chloe Williment
April 08, 2026
7 mins
The Top 10 AI in Food Manufacturing
AI is transforming food manufacturing, with ABB, IBM, BlueYonder, PwC, and more driving faster, precise, hygienic and scalable production operations
As digital innovation accelerates across the global food manufacturing sector, the industry is undergoing a significant transformation.
From robotic packaging and automated quality inspection to predictive maintenance, demand forecasting and real-time process optimisation, AI is reshaping how food is produced, processed and

原文链接：https://fooddigital.com/top10/top-10-ai-in-food-manufacturing