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用近距离低成本传感器和LoRa技术进行土壤水状态监测系统,用于木材作物的智能灌
Jorge Dafonte1, Miguel Ángel González2, Enrique Comesaña3
1PROEPLA, Higher Polytechnic School of Engineering, Campus Terra, Universidade de Santiago de Compostela, 27002 Lugo, Spain.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
为葡萄园灌管理开发了一种新的低成本,开源的农业监测系统. 该系统有效地测量环境和土壤参数,为高效的农场运营提供可复制的结果.
科学领域:
- 农业工程 农业工程
- 环境监测 环境监测
- 传感器技术 传感器技术
背景情况:
- 灌时间表等农场操作受到天气和土壤水的可用性的影响.
- 商用农业监测站的价格可能过高,或者无法满足特定需求.
- 低成本的开源农业监测站提供了使用DIY平台的可行替代方案.
研究的目的:
- 设计和实施一个具有成本效益的环境和土壤参数监测系统,用于实验葡萄园的灌管理.
- 解决商业解决方案在成本和特定功能要求方面存在的局限性.
主要方法:
- 开发基于ESP32芯片和LoRa技术的传感器系统,用于节点到网关通信.
- 使用基于ESP32的网关通过Wi-Fi/4G将数据上传到FTP服务器,并将其本地存储在内存卡上.
- 使用Arduino IDE为节点和网关编程系统.
主要成果:
- 开发的低成本传感器系统证明了基于实时传感器数据的葡萄园灌管理的有效性.
- 该系统展示了可复制的结果,表明其可靠性用于实际应用.
- 电容土壤含水量传感器的校准对于提高不同土壤类型的精度至关重要.
结论:
- 设计的开源监测系统是葡萄园灌管理的有效和可复制的解决方案.
- 准确地测量土壤含水量需要对传感器进行仔细校准,以适应特定的土壤类型.
- 优化灌需要调整系统参数以适应当地条件和葡萄园的具体目标.
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