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
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
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
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 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
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
少了材料使用量，降低了运输成本，并增强了罐头的安全性和美观性，使其更具竞争力和用
市场稳步增长和发展奠定了基础。
人工智能 (AI) 和机器学习 (ML) 如何影响食品饮料金属罐市
善产品质量以及实现更灵敏的供应链管理。在制造业中，人工智能系统用于预测性维护，分
杀菌工艺，可显著延长保质期，广泛用于包装蔬菜、水果、汤类和宠物食品等加工食品。
按
类型两片罐：由一整块金属（通常为铝）制成，罐身和罐盖分开，由于无缝连接，常用于碳
人工智能技术已在果蔬（F&V）全产业链加工环节得到广泛应用，可通过图像识别、多组学整合、数字孪生、机器学习（ML）、深度学习（DL）等技术提升加工效率约30%、减少损耗，还能实现原料识别、加工参数优化、实时无损检测与可追溯性管理。其在智能过程监控方面优势显著，可实时监控调整加工参数以保障产品质量稳定一致，同时能结合生成式AI、自然语言处理等前沿技术，针对老年人、糖尿病患者、运动员等特定健康需求定制个性化营养食品，
原文链接：https://m.ebiotrade.com/newsf/2026-3/20260308082915301.htm