Agriculture (MDPI)·8月23日 · 周日论文阅读 2

Intelligent Agents for Smart Agriculture: Architectures, Applications, and Future Challenges (Agriculture 2026, 16(17), 1808)

AI 评分
74接近精选线
影响力20
信息增量20
专业深度18
信源权威12
时效性4

智能体在智慧农业中的应用综述,内容专业,但时效性较低。

摘要

Wenzheng Tao、Qiwei Sang(江苏大学计算机科学与通信工程学院)、Cong Chen(农业农村部南京农业机械化研究所)、Qirong Mao(江苏大学)发表综述论文。本综述聚焦由大语言模型及相关多模态基础模型驱动的现代农业智能体,考察这一新兴领域如何重塑智能农业系统的组织模式。综述阐明农业智能体的概念边界,综合其架构基础、关键能力、应用场景、部署挑战和未来研究方向。综述文献表明,农业智能体正从孤立的感知、预测和响应生成,向农业任务链中农业知识、动态数据、外部工具和决策流程的目标导向协调转变,开始支持更集成的知识服务、作物监测与诊断、决策支持和农场级协作管理形式。

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信源(1 个)

农业智能体 决策支持 多智能体 智能农业相关资讯

金台资讯·10月21日 · 周三74 分 报道大豆与油料阅读 0

安徽农科院芝麻团队以全程机械化交出太和答卷亩产152.49公斤

10月16日至18日,2026年全国宜机收芝麻全程机械化生产技术暨联合机收现场观摩会在安徽太和县举行,安徽省农科院作物研究所、国家特色油料产业技术体系芝麻机械化岗位科学家张银萍介绍配套机械类型与功能,首席科学家苗红梅介绍产业技术成果。太和县旧县镇张槐村示范田采用宜机收品种配合省农科院芝麻团队集成技术实收测产亩产152.49公斤、机收损失率4.12%。该团队集成的“芝麻全程机械化高效栽培技术”2026年被列为安徽省农业主推技术,生产环节综合机械化率比非示范区提高30%以上、平均亩产增产15%以上、成本降低20%以上,已在阜阳、合肥、安庆等地推广20万亩以上。

AgriHot · 农业科技情报与前沿洞察

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