Intelligent Agents for Smart Agriculture: Architectures, Applications, and Future Challenges (Agriculture 2026, 16(17), 1808)
智能体在智慧农业中的应用综述,内容专业,但时效性较低。
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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