电极模式变化对叶片湿度传感器响应特性的影响

Kamlesh S. Patle;Neha Sharma;Priyanka Khaparde;Harsh Varshney;Gulafsha Bhatti;Yash Agrawal;Vinay S. Palaparthy
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引用次数: 0

摘要

植物病害预测对减少作物损失至关重要。为此,人们研究了早期病害预测模型,其中叶片湿润持续时间(LWD)数据是关键组成部分之一。叶片湿润度传感器(LWS)可用于更好地了解叶片湿润度如何影响植物病害周期和流行病的发展。叶面湿度传感器可在印刷电路板(PCB)上制造,其中交叉电极模式得到了广泛应用。然而,了解这些图案在现场测量中的功效非常重要。为此,在这项工作中,我们在印刷电路板上制作了三种不同的图案,即圆形、椭圆形和矩形,并在实验室和现场测量中测试了它们的功效。实验室测量结果表明,圆形图案的 LWS 在干湿范围内的灵敏度约为 1600%,分别是椭圆形和矩形图案的 2 倍和 1.5 倍。此外,圆形图案 LWS 的滞后约为 2%,而椭圆形和矩形图案 LWS 的滞后分别约为 3% 和 7%。实地测量结果表明,圆形图案的 LWS 和商用 LWS Phytos 31 显示的 LWD 事件数量相同。然而,椭圆形和矩形图案的 LWS 则显示出额外的错误事件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impact of Electrode Patterns Variation on the Response Characteristic of Leaf Wetness Sensors
Prediction of plant diseases is essential to reduce crop loss. Early disease prediction models have been investigated for this purpose, where data on leaf wetness duration (LWD) is one of the key components. Leaf wetness sensors (LWSs) are used to better understand how foliar wetness affects plant disease cycles and epidemic development. LWS can be fabricated on printed circuit boards (PCBs), where interdigitated electrode patterns are widely used. However, it is important to understand the efficacy of these patterns for in-situ measurements. For this purpose, in this work, we have fabricated three different patterns viz. circular, oval, and rectangular on the PCB and tested their efficacy during lab and field measurements. Lab measurements indicate that the circular patterned LWS offers a sensitivity of about 1600% over the dry-to-wet range, which is about 2 and 1.5 times more than oval and rectangular patterns, respectively. Besides this, circular patterned LWS offers the hysteresis of about 2%, whereas the oval and rectangular patterned LWS show about 3% and 7%, respectively. Field measurement results specify that circular patterned LWS and commercial LWS Phytos 31 indicate the same number of LWD events. However, oval and rectangular patterned LWS shows extra false events.
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