基于智能灌的物联网和云计算技术,用于可持续农业
Abdennabi Morchid1, Hassan Qjidaa2, Rachid El Alami3
1LIMAS Laboratory, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah (SMBA) University, 30000, Fes, Morocco. Abdennabi.morchid@usmba.ac.ma.
Scientific reports
|January 16, 2026
概括
本研究介绍了一种成本效益高的智能灌系统,使用物联网和云计算来减少农业中的水浪费. 该系统优化了水的使用,提高了作物产量和农民对气候变化的抵抗力.
科学领域:
- 农业工程 农业工程
- 环境科学 环境科学
- 计算机科学 计算机科学
背景情况:
- 由于农业水资源稀缺和气候变化影响,可持续的水资源管理至关重要.
- 传统的灌方法效率低下,导致浪费水和降低作物生产率.
- 需要创新的解决方案来优化农业的用水量,同时保持性能.
研究的目的:
- 使用物联网 (IoT) 和云计算开发和评估智能灌系统.
- 通过实时数据分析和自动控制,优化农业的用水量.
- 评估系统在减少水浪费和提高农业可持续性方面的有效性.
主要方法:
- 实施了一个智能灌系统,具有温度,湿度,土壤水分和水位的传感器.
- 使用ESP32微控制器收集和传输传感器数据到ThingsBoard云平台.
- 开发了一种实时数据分析算法,以自动化灌的激活/关闭.
主要成果:
- 该系统通过根据实际作物需求优化灌,大大减少了水浪费.
- 实时测量和自动决策确保了能适应环境波动的高效灌.
- 绩效分析表明,与传统方法相比,水资源管理得到了实质性的改进.
结论:
- 拟议的物联网和基于云的智能灌系统在经济上是可行的 (约. 价格为44.00美元),可适应各种农场.
- 该系统增强了农民对气候变化和水资源短缺的抵御力,为粮食安全做出了贡献.
- 这项研究为大规模的智能和可持续农业解决方案提供了一个可复制的模型.
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