灌智能 - 启用基于云的物联网方法,以改善农业的水资源管理
Yousif Al Mashhadany1, Hamid R Alsanad2, Mohanad A Al-Askari3
1Department of Electrical Engineering, College of Engineering, University of Anbar, Anbar, Iraq. yousif.mohammed@uoanbar.edu.iq.
Environmental monitoring and assessment
|April 9, 2024
概括
本研究介绍了一种使用人工智能和物联网传感器的智能系统,用于远程农业监测和控制. 它优化了灌和害虫管理,提高了作物生产和可持续性.
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:
- 先进的传感器技术,特别是人工智能,对于自动化和环境监测等现代应用至关重要.
- 通过整合人工智能,传感器和物联网 (IoT) 功能,农业部门有望取得重大进展.
- 数据驱动的洞察力和人工智能传感器集成的提高效率是改善基础设施和农业实践的关键.
研究的目的:
- 描述一种用于远程监测和分析农业环境条件 (天气,土壤,作物健康) 的智能系统.
- 通过使用AI集成传感器,实现远程控制重要的农业活动,如灌,害虫管理和疾病检测.
- 通过实时数据分析和自动调整,优化用水和增强作物管理.
主要方法:
- 利用物联网 (IoT) 连接的传感器进行准确的远程环境监测.
- 实施人工智能 (AI) 用于数据分析,模式识别和农业操作的远程控制.
- 在Matlab/Simulink中使用混合智能控制系统 (模糊逻辑和PID) 进行高效的水管理.
- 集成智能摄像头,实时监测作物,根据土壤水分和植物需求进行调整.
主要成果:
- 通过物联网连接的传感器实现农业环境的准确远程监控.
- 通过人工智能集成提供了远程控制灌,害虫管理和疾病检测的能力.
- 通过根据植物健康和发展调整灌时间表,证明了最佳的用水量.
- 通过智能摄像头和传感器数据,促进了农业实践的实时调整.
结论:
- 开发的智能系统为当代农业提供了一种革命性的方法.
- 这项技术有可能显著提高农业生产,可持续性和运营效率.
- 远程监控和人工智能驱动的控制为农民提供数据驱动的洞察力,以改善决策.
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