一个自动化的人工智能驱动的物联网算法,具有数据处理和消除噪声,用于工厂监控和启动
Mohammed A H Ali1,2, Khaja Moiduddin3, Yusoff Nukman2
1Advanced Manufacturing and Materials Processing (AMMP), Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
PeerJ. Computer science
|December 9, 2024
概括
本研究介绍了一种人工智能驱动的物联网系统,用于自动化作物监测和行动. 该系统使用传感器和人工智能来管理植物状况,远程向农民报告,以改善作物健康.
科学领域:
- 农业技术 农业技术
- 人工智能的人工智能
- 物联网的物联网,就是物联网.
背景情况:
- 传统农业需要人类不断监控.
- 像这样的作物对环境变化和害虫很敏感.
- 自动化系统可以提高效率和作物产量.
研究的目的:
- 开发一个人工智能驱动的物联网系统,用于自主作物监测和管理.
- 为了使农民能够远程向农民报告植物状况.
- 为了测试系统在植物上的有效性.
主要方法:
- 设计和制造了一种人工智能驱动的物联网系统原型.
- 集成的土壤湿度,CO2,温度和摄像头传感器.
- 应用基于AI的信号/图像处理和消除噪音的算法.
主要成果:
- 该系统成功地根据传感器数据自动化了灌,通风和农药应用等操作.
- 人工智能算法有效地处理传感器数据和图像,用于决策.
- 在叶上检测害虫的成功率达到75%.
结论:
- 开发的AI驱动物联网系统展示了有效的自主作物监测和管理.
- 该系统为农民提供了关于植物健康的宝贵远程见解.
- 这项技术有可能提高农业实践和作物生产率.
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