边缘计算支持的智能农业:技术架构,实践进化和瓶突破
Ran Gong1, Hongyang Zhang1, Gang Li1
1School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China.
Sensors (Basel, Switzerland)
|September 13, 2025
概括
边缘计算通过在源头附近处理数据来增强智能农业,克服云计算限制,如延迟和带宽问题,以便在农业中实时做出决策.
科学领域:
- 农业技术 农业技术
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 农业的数字化转型产生了大量的数据,压倒了传统的云计算.
- 云框架面临的挑战包括延迟,低功耗需求和实时限制,影响效率和安全性.
研究的目的:
- 提供农业边缘计算研究的全面调查.
- 分析边缘传感器件,智能算法和通信机制的演变.
- 为了证明边缘计算在精准农业和作物可追溯性的有效性.
主要方法:
- 定义农业边缘计算的核心概念.
- 分析"终端传感边缘智能云协调"架构.
- 审查边缘设备,算法和通信方面的技术进步.
主要成果:
- 边缘计算为农业提供低延迟响应,带宽优化和分布式计算.
- 边缘计算增强了精准农业,机械控制和作物可追溯性的实时决策.
- 在复杂的农业环境中确定了适应挑战.
结论:
- 边缘计算是智能农业的一个有希望的解决方案,解决云计算的局限性.
- 对于复杂环境适应和农业边缘计算的未来发展,需要进一步的研究.
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