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通过水培番茄生产系统的藻类覆盖来评估农业传感器的可靠性评估

Saksonita Khoeurn^1,2, No Hyeon Park³, Hye Kyoung Jahng²

¹BigDataLabs Co., Ltd., Cheongju, 28644, South Korea.

Scientific reports

|February 12, 2026

概括

水培传感器上的藻类生长可以表明环境变化和传感器可靠性问题. 量化藻类可能有助于验证传感器数据,以改善精确农业.

科学领域:

农业科学农业科学
环境监测环境监测
传感器技术传感器技术

背景情况:

水耕系统利用数字技术进行精准农业.
传感器数据完整性至关重要,但受到环境因素和传感器故障的挑战.
在种植过程中检测传感器故障是很困难的.

研究的目的:

调查传感器上的藻类覆盖模式是否与记录的环境参数的变化相关.
评估藻类生长潜力作为水培系统中传感器数据可靠性的指标.

主要方法:

117个环境传感器监测了岩水培番茄系统中的根区温度,湿度,pH值和EC值.
培养后分析将传感器按藻类覆盖率 (高或最小) 分类.
传感器组之间的环境参数和番茄生产率进行了比较.

主要成果:

在传感器表面上观察到藻类覆盖的显著差异.
与覆盖率较低的传感器相比,具有高藻类覆盖率的传感器显示出更高的基板相对湿度和EC.
番茄生产率在各组之间没有显著差异.

结论:

藻类覆盖模式可以间接反映环境参数,如湿度和EC.
量化藻类生长可能作为一个推断验证指标,用于传感器数据可靠性在水栽培.
这项研究解决了优化农业系统的精确环境监测方面的挑战.

关键词:

索兰 (Solanum lycopersicum) 是一种的植物.在水培养中培养的水产品.岩石羊毛是一种岩石羊毛.传感器可靠性传感器可靠性

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