An Artificial Neural Network‐Based Method to Identify Five Classes of Almond According to Visual Features

rch for more papers by this author Mahmoud Omid,
Corresponding Author
Mahmoud Omid
omid@ut.ac.ir
Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran
Corresponding author. TEL: +98-912-3611832; FAX: +98-2632808138; EMAIL: omid@ut.ac.ir Search for more papers by this author Kaveh Mollazade,
Kaveh Mollazade
Department of Biosystems Engineering, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
Search for more papers by this author Ali Rajabipour
, Ali Rajabipour
Department of Agricultural Machinery E

原文链接:https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpe.12255

Precision to plate: AI-driven innovations in fermentation and hyper-personalized diets – PMC

Front Nutr. 2025 Sep 4;12:1659511. doi: 10.3389/fnut.2025.1659511
Precision to plate: AI-driven innovations in fermentation and hyper-personalized diets
D Priyadharshini
1 Department of Fruit Science, Horticultural College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India
1, I Muthuvel
I Muthuvel
2 Department of Fruit Science, Horticultural College and Research Institute (Women), Tamil Nadu Agricultural University, Trichy, Tamil Nadu, India
2, *, S Saraswathy
S Saraswathy
3 Department of Fruit Science, Horticultural College and Research Institute, Tamil

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12443733/

Lightweight visual detection of cutting arcs on nonlinear annular banana crowns and reciprocating robotic de-handing system

ng
College of Engineering, South China Agricultural University, Guangzhou 510642, China
School of Mechanical Engineering, Guangdong Ocean University, Zhanjiang 524088, China
,
Jieli Duan
Jieli Duan
College of Engineering, South China Agricultural University, Guangzhou 510642, China
Authors Info & Claims
Volume 243, Issue C
https://doi.org/10.1016/j.compag.2025.111346
Published : 17 June 2026 Publication History
Highlights
Abstract
References
Highlights
•
A low-cost robotic system was developed for intelligent banana de-handing.
•
Keypoint detection & circle fitting enables fast, precise cu

原文链接:https://dl.acm.org/doi/10.1016/j.compag.2025.111346

自研 AI 模型辅助决策的果实采摘机器人系统——面向农村果园的智能采摘解决方案

电池模组专供机械臂作业,确保大功率负载下的系统稳定性与全天候续航能力。 本系统通过软硬件深度协同与端侧AI部署,将采摘决策智能化水平提升至新高度,目标将果实损伤率控制在3%以内,单机作业效率等效3-5名熟练工人,
从根本上破解农村果园的发展瓶颈,为我国农村水果产业智能化升级提供可复制、可推广的智能方案。

原文链接:http://gjcxcy.bjtu.edu.cn/NewLXItemListForStudentDetail.aspx?IsLXItem=1&ItemNo=1551025

“火眼金睛”识熟果 自动采摘不伤花_工作动态_南京市农业农村局

“火眼金睛”识熟果 自动采摘不伤花
文章来源:南京日报、紫金山新闻 发布时间:2025-10-21 09:26 阅读次数:388
果园里,机器人精准采摘葡萄、苹果、梨等果实;大棚中,机械臂温柔地为草莓、番茄等娇嫩水果“梳妆”;菊田里,智能装备高效采收茶用菊……近日,在南京农业大学举行的农业机器人校地专场对接会上,一批从实验室走出来的“钢铁新农人”集中亮相,以硬核科技实力颠覆传统农业生产模式,为智慧农业发展注入强劲动能。
走进展示

原文链接:https://nyncj.nanjing.gov.cn/nygzdt/202510/t20251021_5673189.html

梨、番茄、芦笋全拿下!江苏采摘机器人藏着多少创新科技?

村部南京农业机械化研究所联合多家单位研制的全天候梨采摘机器人。它长着3条灵活的机械臂,搭载3D深度相机和AI算法,就像有了“火眼金睛”,识别准确率超90%,阴天、傍晚也能精准找到果实。“这款机器人已能完全替代人
采摘。”农业农村部南京农业机械化研究所副研究员余山山介绍,这大大缓解了水果产业劳动力不足的困境。
设施农业里,江苏的采摘机器人同样藏着新奇设计。在江苏省农科院智慧农业示范基地的温室中,双臂番茄采摘机器人

原文链接:https://www.xhby.net/content/s6965e495e4b05fbb22fe0030.html

海峡导报的微博

之一。
该项目由厦门理工学院智能机电装备创新研究院院长刘燕德教授主持、刘建春教授参与研发。团队研发的水果光电分选装备,能对果品进行全品质、多尺寸智能化分选,也就是利用AI和无损检测技术,实现对单个果实的
准分级,由此替代传统依赖人工抽样、主观判断的低效模式。
通俗来讲,这套装备凭借精准算法,能像经验丰富的老果农一样一眼“看透”水果的糖度、瑕疵,甚至是内部病变,给每个水果精准定级,让每个果品的好坏一目了

原文链接:https://m.weibo.cn/detail/5249114767622983

农业 AI 大模型在农产品精深加工与副产物综合利用中的应用_智慧农业-叁拾叁

物的高值化利用,推动农产品加工业向高端化、智能化、绿色化发展。
农业AI大模型构建了农产品加工工艺智能优化体系,整合了不同农产品的加工特性
的潜在价值,为其匹配最优的高值化利用途径,实现”吃干榨净”。例如,对于水果加工产生的果皮、果渣,模型可推荐提取果胶、膳食纤维、天然色素等
能性成分的工艺;对于粮食加工产生的麸皮、胚芽,模型可推荐提取膳食纤维、维生素E、植物甾醇等成分的工艺,大幅提升副产物的利用价值。同时,

原文链接:https://www.33iot.com/news/2665.html

Frontiers | Advancement in artificial intelligence for on-farm fruit sorting and transportation

t A&F University, Yangling, China
Abstract
On-farm sorting and transportation of postharvest fruit include sorting out defective products, grading them into categories based on quality, distributing them into bins, and carrying bins to field collecting stations. Advances in artificial intelligence (AI) can speed up on-farm sorting and transportation with high accuracy and robustness and significantly reduce postharvest losses. The primary objective of this literature review is to provide an overview to present a critical analysis and identify the challenges and opportunities of AI applications

原文链接:https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2023.1082860/full

当荔枝遇上AI,从化智慧农业绘就数字新图景

当荔枝遇上AI,从化智慧农业绘就数字新图景
广州从化发布
2025-06-19 18:04
无人机30分钟完成10亩果园健康巡检、机器人1分钟采摘60颗荔枝、荔枝果心温度从30℃降至5℃仅需10分钟……当千年古诗中的“岭南佳果”遇上前沿AI技术,一场关于农业现代化的变革正在广州从化悄然发生。
6月19日,岭南果园荔枝智慧化管理技术推介会在从化荔博园举行,华南农业大学联合广州健坤等多家合作单位,共同展示荔枝AI大模型“荔知君”、智慧果园精准管控技术和多

原文链接:https://www.nfnews.com/content/ryepJqPpog.html