一种利用ka波段估算叶片含水量的无损方法

Joshua Contreras, Ashley Goodnight, Quinn Parker, Nia Simon, Jonas Theumer, A. Zajić
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引用次数: 0

摘要

在本文中,我们展示了使用ka波段微波传输来远程测量叶片相对含水量(RWC)。该系统由连接矢量网络分析仪的市售喇叭天线组成,与太赫兹光谱等其他非破坏性方法相比,它提供了一种简单、廉价和低能耗的设计。此外,ka波段频率电子元件需要更少的功率,可以在更广泛的环境中使用。利用华立Spathiphyllum Wallisii植物的叶片样本,我们推导了一个模型,该模型接受通过叶片传输的能量作为输入,并输出RWC的估计和是否浇水的建议。我们通过将其与基于称重和浸泡/脱水的标准方法获得的RWC值进行比较来验证我们的模型。结果表明,该方法是有效的,模型性能良好。进一步的工作是提高鲁棒性和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Non-Destructive Method to Estimate Leaf Water Content Using the Ka-Band
In this paper we demonstrate the use of Ka-band microwave transmission for remote measurement of relative water content (RWC) in leaves. The system, consisting of commercially available horn antennas connected to a vector network analyzer, offers a simple, inexpensive, and low-energy design compared to other non-destructive methods like terahertz spectroscopy. In addition, Ka-band frequency electronic components require less power and can be used in a wider range of environments. Using leaf samples from the Spathiphyllum Wallisii plant, we derived a model that accepts the power transmitted through the leaf as input and outputs an estimate for the RWC and a recommendation on whether or not to water the plant. We verify our model by comparing it to RWC values obtained from a standard method based on weighing the leaf and soaking/dehydrating it. Results indicate that the approach is valid with acceptable model performance. Further work is proposed to improve robustness and accuracy.
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