优化农业数据安全:利用物联网和人工智能与延迟感知准确度指数 (LAAI)
Omar Bin Samin1,2, Nasir Ahmed Abdulkhader Algeelani2,3, Ammar Bathich2
1Center of Excellence in IT, Institute of Management Sciences (IMSciences), Peshawar, Peshawar, Pakistan.
PeerJ. Computer science
|September 24, 2024
概括
本研究引入了延迟意识准确度指数 (LAAI),以提高农业数据的安全性. 拉伊集成物联网 (IoT) 和人工智能 (AI),提供准确,及时和安全的农业数据,改善决策和粮食安全.
科学领域:
- 农业技术 农业技术
- 数据科学数据科学数据科学
- 网络安全 网络安全
背景情况:
- 现代农业越来越依赖物联网 (IoT) 和人工智能 (AI) 来进行数据驱动的操作.
- 尽管技术进步,确保农业数据的安全性和完整性仍然是一个重大挑战.
研究的目的:
- 引入一种新的评估指标,即延迟意识准确度指数 (LAAI),以优化农业数据安全.
- 解决需要一个整体措施的需求,考虑农业数据管理中的数据准确性和延迟.
主要方法:
- 通过整合物联网和人工智能的功能,开发了延迟意识精度指数 (LAAI).
- 集成的延迟作为评估数据准确性和安全性的关键因素.
主要成果:
- 该LAAI提供了一个更全面的数据准确性的方法,考虑到延迟限制.
- 该指标确保农民迅速获得可靠的信息,提高运营效率.
结论:
- 该LAAI指标增强了农业数据的安全性,并支持农民的知情决策.
- 这有助于改善农业实践,促进更健康的农业和更大的粮食安全.
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