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相关实验视频

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智能农业中的云端设备协作计算:架构,应用程序和未来的前景.

Pengpeng Yu1, Fei Teng2, Wenhui Zhu3

  • 1School of Agricultural Engineering, Jiangsu University, Zhenjiang, China.

Frontiers in plant science
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概括

云端设备协作通过为粮食安全和可持续资源管理提供分布式智能来增强智能农业. 这种方法解决了挑战,并概述了先进农业系统的未来研究方向.

关键词:
云端设备协作 云端设备协作分布式计算分布式计算边缘的人工智能 (边缘AI)环境监测 环境监测 环境监测智能灌灌方式害虫和疾病管理 害虫和疾病管理精准畜牧业 精准畜牧业 精准畜牧业 精准畜牧业智能农业 智能农业

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科学领域:

  • 农业科学 农业科学
  • 计算机科学 计算机科学
  • 工程 工程师 工程师 工程师

背景情况:

  • 全球对粮食安全和可持续资源管理的需求不断增长,推动了智能农业创新.
  • 传统的集中式计算架构在复杂的农业需求的处理和决策方面存在局限性.

研究的目的:

  • 为智能农业中云端设备协作计算提供全面的审查.
  • 确定关键的应用领域,挑战和未来的研究方向.

主要方法:

  • 关于云端设备协作架构和农业应用的文献综述.
  • 对技术特征,挑战和新兴研究领域的分析.

主要成果:

  • 云端设备协作提供分布式智能,实时处理和自适应性决策.
  • 关键的应用领域包括环境监测,智能灌,无人机机械协调,牲畜健康和害虫防治.
  • 确定的挑战包括设备异质性,数据一致性,资源限制和隐私问题.

结论:

  • 云端设备协作对于下一代智能农业系统至关重要.
  • 概述的研究方向包括智能调度,边缘人工智能,数据融合,联合学习,互操作性和数字双胞胎.
  • 这一审查是设计和实施先进智能农业解决方案的基础.