基于物联网的系统的开发和应用,用于在土壤特征中监测土壤水的状态
Alessandro Comegna1, Shawcat Basel Mostafa Hassan1, Antonio Coppola1,2
1School of Agricultural Forestry Food and Environmental Sciences (SAFE), University of Basilicata, 85100 Potenza, Italy.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
一个新的低成本电容传感器准确地测量了土壤的含水量和矩阵潜力. 结合即时形状方法 (IPM),它有效地估计了土壤的液压导电性,为现场监测提供了昂贵的TDR探头的可行替代方案.
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 水文学 水文学
背景情况:
- 土壤中的水含量 (θ),矩阵潜力 (h) 和液压导电性 (K) 对于水文和环境研究至关重要.
- 测量土壤液压性能的现有传感器在成本和复杂性方面存在很大差异.
- 物联网 (IoT) 系统可以实现远程,实时的土壤数据采集,以进行大规模,经济高效的监测.
研究的目的:
- 引入一种新的多参数传感器,用于同时估计土壤含水量 (θ) 和矩阵潜力 (h).
- 评估传感器在使用即时形状方法 (IPM) 确定土壤液压导电性 (K) 的能力.
- 评估传感器的性能,作为一种低成本的替代方案,用于现场规模的土壤水状态监测.
主要方法:
- 开发和部署一个新的多参数电容式传感器.
- 在不同深度同时测量土壤含水量 (θ) 和矩阵潜力 (h).
- 应用即时形状方法 (IPM) 来估计土壤液压导电性 (K).
- 使用多项式函数进行数据分析,以对传感器行为进行模拟,以获得 θ 估计.
主要成果:
- 一个二次多项式函数 (R2 = 0.99) 有效地模拟了电容传感器在泥土土壤中对 θ 的估计.
- 传感器与IPM相结合,提供了准确的土壤液压导电率 (K) 估计.
- 拟议的系统在长时间的数据采集期间表现出强的性能.
结论:
- 低成本的电容传感器对于测量土壤水含量 (θ) 和矩阵潜力 (h) 是有效的.
- 传感器的设计简化了IPM的实施,使K估计不那么劳动密集.
- 开发的监测系统是TDR探针的合适和经济有效的替代方案,用于持续监测土壤水的状态.
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