Food & Beverage Automation Solutions | Rockwell Automation | SE

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

Artificial Intelligence in Food Processing – Novel Technologies in Food Science – Wiley Online Library

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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

智慧果园:AI+无人机+多模态传感的立体化生态种植管家-CSDN博客

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

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

Top 10: AI in Food Manufacturing

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

Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

trition, we expect breeding to increase its prioritization toward these traits. Reaching this goal will, in part, necessitate knowledge of the genetic architecture controlling these traits, as well as the development of breeding methods that maximize their genetic gain. Can artificial intelligence (AI) help predict flavor preferences, and can such insights be leveraged by breeding programs? In this Perspective, we outline both the opportunities and challenges for the development of more flavorful and nutritious crops, and how AI can support these breeding initiatives.
MeSH Term
Artificial Inte

原文链接:https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-37515935

AI视觉+气调包装,鲜果切生产线的智慧双引擎,重塑供应链效率-化工仪器网-手机版

AI视觉+气调包装,鲜果切生产线的智慧双引擎,重塑供应链效率
德信科(上海)智能设备有限公司
2025/6/20 15:17:17
在鲜切水果行业,品质保鲜与效率提升是永恒的课题。当气调包装技术遇上AI视觉识别SKU,一场从生产线到供应链的
“智慧革命”正在悄然发生——精准识别、自动贴标、全链路追溯,不仅让鲜果切锁住新鲜,更让供应链尽在把控。德信科Desigco在本篇推送将简单介绍果切视觉识别系统。
AI视觉赋能鲜果切生产:从“人工手动”到“机器秒判
随

原文链接:https://m.chem17.com/tech_news/detail/4064498.html

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

Food Assembly & Quality Inspection Solutions | Cognex

Food Production Assembly & Quality Verification
In the food industry, proper assembly is essential for maintaining quality and satisfying hungry customers. AI-powered Cognex vision systems easily automate food inspection processes, delivering consistent quality, reducing errors and waste, and helping you meet food safety regulations.
Inspect food assemblies for missing or defective items.
Find and classify defective straws on juice boxes.
Locate challenging variable defects like in boxes of tea bags.
Inspect food assemblies for missing or defective items.
Find and classify defective straws on

原文链接:https://www.cognex.com/en/applications/assembly-inspection-and-verification/food-production-quality-inspection/food-assembly-and-quality-inspection-solutions

AI保鲜革命:给水果蔬菜装上“智慧大脑-全国科技小院服务管理平台

AI保鲜革命:给水果蔬菜装上“智慧大脑
发布者: 孙振业 2025-07-20
内容简介
国每年果蔬采后损失率高达34.4%,其中近半数发生在运输存储环节《2023中国食
营养发展报告》,从田间到餐桌的科技保卫战已然打响。而最新研究表明,人工智能技术正在为易腐果蔬筑起一道“数字防护墙”。
AI如何守护果蔬新
度的呢?首先是品质检测,通过手机扫一扫,得到新鲜度。哥伦比亚研究者开发的AI系统(CNN BILSTM模型)通过拍摄果蔬表面,能自动分析颜色、纹理等300

原文链接:https://stb.mae.edu.cn/site/resource/37212.html