开发一个用于园艺应用的开源土壤水资源潜力管理系统",Open_Irr"
1USDA-ARS, Appalachian Fruit Research Station, 2217 Wiltshire Rd. Kearneysville, WV 25430, United States.
HardwareX
|August 18, 2023
概括
一个新的,低成本的传感器平台,Open_Irr,准确地测量土壤水分,并自动化灌. 这项技术旨在克服成本障碍,使智能灌能够更广泛地采用,以改善农业的水资源管理.
科学领域:
- 农业工程 农业工程
- 环境科学 环境科学
- 园艺科学 园艺科学
背景情况:
- 传感器技术的进步使数据驱动灌成为可能,但高成本限制了广泛采用.
- 公平获得精确灌技术对于可持续农业和园艺至关重要.
- 现有的商业系统往往对许多用户来说是一个重要的财务障碍.
研究的目的:
- 开发一个低成本,基于微控制器的LoRa平台 (Open_Irr) 用于测量土壤矩阵潜力和自动化灌.
- 创建一个用户友好的系统,可以在没有编程知识的情况下进行调整,以便灵活应用.
- 在现实世界中验证Open_Irr平台的性能和可扩展性.
主要方法:
- 使用Arduino IDE开发了Open_Irr平台,集成了LoRa通信和微控制器功能.
- 连接Open_Irr节点与Watermark®土壤传感器来测量土壤矩阵潜力,以及用于灌控制的电磁.
- 在2022年春季进行了初步现场试验,以评估在缺水场景下的性能,并将读数与商业传感器读数器进行比较.
主要成果:
- Open_Irr在测量土壤矩阵潜力方面表现出很高的准确性,与商业阅读器相比,确定系数 (R2) 为0.91.
- 布兰德-阿尔特曼分析表明,一个小的固定偏差约为2kPa,证实了可靠的测量.
- 该平台成功地根据预定义的土壤矩阵潜在值自动化滴滴灌事件.
结论:
- Open_Irr平台为基于传感器的灌自动化提供了一个可行的,低成本的解决方案.
- 它的准确性和易用性使其适用于商业园艺应用和学术研究.
- Open_Irr可以促进对特定的土壤水应力条件的施加,并优化灌管理.
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