The Development of “The taste of life created by brewers and AI—Agentic AI × Craft Beer”: NEC Technical Journal | NEC

Co-Creation Between Brewers and AI: The Development of “The taste of life created by brewers and AI—Agentic AI × Craft Beer”
Vol.19 No.1 Special Issue on NEC BluStellar: NEC BluStellar Driving the Future of Digital Transformation — A Value Creation Model Pioneered by AI, Security, Data Management, and Modernization
Digital Transformation(DX)
AI/big data
Co-creation
Manufacturing
NEC positions AI as a collaborative partner for humans. In this initiative, brewers and AI worked together in the product development process to create “The taste of life created by brewers and AI—Agentic AI

原文链接:https://www.nec.com/en/global/techrep/journal/g25/n01/250106.html

农产品智慧供应链:内涵、关键技术与未来方向

的系统梳理和全面分析。其次,对于新兴技术在农产品供应链中的实际应用案例和效果评估不够深入,未深入挖掘区块链、人工智能(Artificial Intelligence
, AI)等新兴技术在供应链中的具体应用场景与实践效果。此外,未能系统梳理农产品供应链各环节(如生产、加工、流通、消费)的关键技术适配性及综
合应用路径。
鉴于此,本文针对农产品智慧供应链,一是在内涵界定上,综合研究进展与实践,明确提出农产品智慧供应链的新内涵,为后续研究提供清

原文链接:https://www.agrijournal.com.cn/smartagri/CN/10.12133/j.smartag.SA202501006

Frontiers | Artificial intelligence-driven food and nutrition systems: from smart food production to personalized nutrition

ue 2 *
1. Guangdong-Hong Kong-Macao Greater Bay Area College of Intelligent Cold-Chain Industries, Guangzhou College of Technology and Business, Guangzhou, Guangdong, China
2. College of Food Science, South China Agricultural University, Guangzhou, Guangdong, China
Abstract
Artificial Intelligence (AI) is rapidly emerging as a technology that integrates sectors such as food production, manufacturing, supply-chain management, diet-related information, and personalized nutrition. By integrating machine learning, computer vision, predictive analytics, robotics, and large language models, AI is re

原文链接:https://www.frontiersin.org/journals/nutrition/articles/10.3389/fnut.2026.1922164/full

Robotics Solutions for All Food Processing Jobs and Seasons

Automation
Automation
Robotics Solutions for All Food Processing Jobs and Seasons
Robots and cobots, with the help of some clever programming and AI, can take on most any job anytime, anywhere.
By Wayne Labs, Senior Contributing Technical Editor
Photo courtesy of Tetiana Lazunova / Getty Images
July 27, 2026
Robotics and cobotics are becoming vital role players in the food and beverage industry. From picking berries or tomatoes, butchering meat carcasses, manipulating food processes, making RTE meals and all stages of packaging to shipping, AI-powered robots and cobots are taking on jobs where

原文链接:https://www.foodengineeringmag.com/articles/103833-robotics-solutions-for-all-food-processing-jobs-and-seasons

AI for food and beverage industry: 2026 playbook

May 27, 2026
Tommaso Maria Ricci
AI for food and beverage industry: 2026 playbook
AI for food and beverage industry: cut waste 30%, real cases, 90-day roadmap, costs, regulatory paths. Strategic playbook for operations leaders and CEOs.
Table of Contents
AI for food and beverage industry: the strategic playbook reshaping a 6 trillion dollar market
In late 2024, a mid-sized European dairy group I will call NB-Crema cut its yogurt fermentation defects by 47 percent in eight months after deploying a real-time computer vision system on its primary production line. Annual savings on raw milk waste

原文链接:https://www.tommasomariaricci.com/blog/ai-for-food-beverage-industry

Artificial Intelligence for the Food Industry – PubMed

niversity, Richmond, NSW 2753, Australia.
2 School of Mechanical, Medical and Process Engineering, Faculty of Science and Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia.
PMID: 42121401
PMCID: PMC13164079
DOI: 10.3390/foods15091456
Abstract
Artificial Intelligence (AI) is transforming the food industry by enhancing food safety (contamination detection, traceability), optimizing supply chains (demand forecasting, waste reduction, logistics), personalizing nutrition (customized recommendations), and driving product innovation (new flavor creation, formulation) t

原文链接:https://pubmed.ncbi.nlm.nih.gov/42121401/

横州茉莉花田上,AI来救场了!

。“价格公开透明,花农再也不用担心被压价了。”黄深说。
AI贯穿种植、加工、交易各环节——病害及时诊,产量有估算,价格全透明,花农省了心
误差;全产业链数据汇总后,为政府产业分析、风险预警提供真实依据。“AI相当于产业的‘智能大脑’。”陈露妃说。
在中华茉莉园,花农加紧采摘
产业链之花”入选中央网信办信息化发展局《数字乡村发展创新实践与优秀案例(2024)》;2025年,“数字茉莉”平台交易额达到16亿元;2026年,截至7

原文链接:http://news.qq.com/rain/a/20260730A09IY500

除了机器人服务员,这些AI正在改变人们的口粮和餐桌|AI瞭望塔(S2E16)

是赋予了“剩余”以尊严和价值,让科技闪耀出人性的光辉。
如果说雀巢的案例聚焦于生产端成品的再利用,那么比利时初创公司Polysense则将AI的显微镜
深入到了生产过程的内部。在薯条、薯片等食品加工中,原材料的天然差异(如土豆的大小、含水量)和生产环境的波动,是导致品质不均和废品率高企
主要原因。Polysense的AI系统通过计算机视觉实时监控生产线,将质量检测结果与工艺参数进行关联分析,从而能“比人类快得多”地发现瑕疵和错误。它
本文作者:CyberDaily

原文链接:https://view.inews.qq.com/k/20250616A08DGE00

Artificial intelligence-driven food and nutrition systems: from smart food production to personalized nutrition – PubMed

lligent Cold-Chain Industries, Guangzhou College of Technology and Business, Guangzhou, Guangdong, China.
2 College of Food Science, South China Agricultural University, Guangzhou, Guangdong, China.
PMID: 42620444
PMCID: PMC13485766
DOI: 10.3389/fnut.2026.1922164
Abstract
Artificial Intelligence (AI) is rapidly emerging as a technology that integrates sectors such as food production, manufacturing, supply-chain management, diet-related information, and personalized nutrition. By integrating machine learning, computer vision, predictive analytics, robotics, and large language models, AI is re

原文链接:https://pubmed.ncbi.nlm.nih.gov/42620444/

南中医学子用AI破局饲料添加,让科技从实验室走向养殖一线

南中医学子用AI破局饲料添加,让科技从实验室走向养殖一线
频道:文化产业周刊
2025-11-27 17:32:23 来源:新华报业传媒集团
近日,南京中医药大学药学院“智在饲海”团队运用人工智能技术优化饲料添加剂配方,为江苏淮安的养殖场农户提供更加科学、合理、廉价、高效的饲料添加方案。团队从实验室科研攻关,到饲料厂工业化生产考察,再到养殖基地实践签约,走出了一条“学研产用”一体化的饲料添加剂革新之路,用青春力量诠释出当代学子践

原文链接:https://jhd.xhby.net/share-webui/detail/s69281aa7e4b0fa11d4c3c728