#农业末端执行器

基于物联网传感器实现农田土壤湿度自动监测与灌溉控制。

综述基于NPK传感器与物联网的可再生能源智能水肥一体化控制器方案。

Year-round utilization of agricultural robotic platforms requires adaptable systems capable of performing multiple operations with interchangeable end-effectors. Although mechanical tool-changing mechanisms are well established, software interoperability, communication, and adaptive perception remain challenges. This narrative review examines software architectures, communication protocols, and edge intelligence technologies relevant to modular agricultural end-effectors. Publications identified through Scopus and Web of Science, complemented by citation exploration, are synthesized across five areas: hardware abstraction and middleware integration, deterministic fieldbuses, distributed network communication, edge computing and artificial intelligence (AI) deployment, and visual servoing. The literature highlights the need to separate task coordination from actuator control and to select communication protocols according to timing and bandwidth requirements. Edge computing, model optimization, and modular perception services can support AI deployment on resource-constrained robotic platforms. However, existing approaches primarily address individual integration challenges rather than complete software reconfiguration following tool exchange. Based on these findings, this review proposes the Modular Agricultural End-Effector Software Architecture (MAESA), a conceptual reference framework integrating automated tool identification, hardware abstraction, communication, perception, and control. Its theoretical contribution lies in unifying previously fragmented integration approaches, while its practical significance is providing design guidance for autonomous tool exchange and year-round agricultural operations.

发表于智慧农业(中英文)2026年第4期。研究阐述云边端协同技术在大田种植、设施园艺和畜牧养殖等典型农业场景中的应用模式与协同机制，综合分析边缘智能调度、语义互操作与可信协同等国内外研究进展。

依据《中华人民共和国种子法》《主要农作物品种审定办法》,农业农村部决定对扬麦59等157个小麦品种、长田优2124等28个水稻品种、高歌856等21个玉米品种、中棉所97等3个棉花品种予以审定;对水稻品种惠两优1818、豫教6号等24个小麦品种、新玉52号等15个玉米品种撤销审定,业经第五届国家农作物品种审定委员会第九次主任委员会会议审议通过。自公告发布之日起,撤销审定品种停止生产。

融合物联网传感器与作物图像，构建可解释的病害早期预警框架。

裘佳颖、刘应昌、高星杰、黄远、张红雨、田芳、李万理、冯在文提出端到端工具增强型大模型智能体系统架构AgriAgent:通过知识检索与工具调用闭环,在农业场景下实现"环境感知-动态决策-执行反馈"的全周期闭环控制。实验表明,番茄产量分别提升926.20%、979.55%、1537.46%(三种配置);卷心菜产量分别提升501.67%、504.65%、1185.14%;当参数量达7B时智能体展现卓越的灵活性与适应性,能解决大部分复杂农业生产决策问题,基于DSSAT作物生长模型构建农业评测平台。

农业农村部南京农业机械化研究所发布拥有完全自主知识产权的农机智能引擎AMES1000新产品,破解我国智能农机底层核心技术瓶颈。南京农机所创新提出农机智能引擎AMES概念,联合中农国科(南京)智能装备科技有限公司完成产品落地,实现自动驾驶、处方图精准作业、多机协同、故障诊断等六大核心功能,具备高稳定、高可靠、易扩展等优势,可广泛适配各类农机机型,覆盖耕、种、管、收全农业生产场景,目前已在拖拉机、插秧机、田间管理机器人等装备上开展田间验证与熟化。