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1535. The Future of Food Shaped by AI: Next-Generation Food Innovation Envisioned
2026-07-09
1535. The Future of Food Shaped by AI: Next-Generation Food Innovation Envisioned
The foods we consume every day are developed through a process that relies far more on experience and trial-and-error than many people realize. Creating new food products involves numerous stages—from ingredient selection and formulation design to fermentation, manufacturing, and sensory evaluation—each requiring significant experimentation, time, and resources. At the same time, global food systems are major

原文链接：https://www.jircas.go.jp/en/program/proc/blog/20260709

s food system: 3 innovation trends shaping the future of food R&D
Food & Ingredients
January 12, 2026
Florian Schattenmann is Cargill’s chief technology officer. In this article he shares three trends defining the horizon of food R&D and why innovation leaders must embrace agentic and generative AI, next-generation fermentation and precision nutrition to remain relevant.
Let’s be real — disruption isn’t the exception anymore; it’s part of daily life. Whether it’s shifting supply chains or rapidly evolving consumer expectations, staying still isn’t an option. Against this backdro

原文链接：https://www.cargill.com/story/three-innovation-trends-future-food

料供应商提供解决方案。
近日，欧洲领先食品技术资讯公司DigitalFoodLab发布AI & FoodTech市场研究报告。
如果将食品行业的供应链纵向整合，不难发现，从
农业耕种的上游，到加工研发的中游，再到消费落地的下游，人工智能渗透当中的应用场景不仅多样多变且可塑性极高。
接下来，我们将结合海内外市场
中优秀的企业案例，为大家解析当前人工智能为整个食品技术供应链带来的无穷机会。
1、上游：农业赋能（AGTech）
针对上游端，人工智能目前的发力点

原文链接：https://m.xianjichina.com/news/details_299934.html

Computer vision and robotics for the agri-food industry
About this expertise
In short
Automated food and process monitoring
AI-driven data analysis
Multi-sensor technology
Industrial-scale robotics applications
Agri-food companies constantly need to ensure consistent product quality. At Wageningen University & Research (WUR), we offer solutions for automated quality inspection of agri-food and bio-based products. We develop advanced solutions for agri-food sector using optical sensing, AI and robotics solutions.
We combine non-destructive sensing, machine learning, and robotics to automaticall

原文链接：https://www.wur.nl/en/research/food-and-biobased/computer-vision-and-robotics-agri-food-industry

I技术的企业，其能源消耗降低了10%以上。例如，某乳制品加工厂通过AI系统分析能源使用数据，成功将能耗降低了8%
，同时减少了碳排放量。这些案例表明，AI技术在生产流程优化中的应用，不仅提升了效率，也带来了显著的成本节
约和环境效益。 2.3 AI技术在供应链管理中的应用 (1) AI技术在农副食品加工行业的供应链管理中发挥着重要作用，通
过数据分析、预测模型和自动化流程，有效提升了供应链的透明度和效率。据《中国供应链管理报告》显示，采用AI

原文链接：https://www.docin.com/touch_new/preview_new.do?id=4859346458

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

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

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

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

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