智能农业的超声波传播:以阿拉比卡咖啡为例研究

D. Collazos-Burbano, J. E. Cuello, M. Villagrán‐Muniz
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引用次数: 3

摘要

在这项工作中,我们建议使用光声实现来快速估计植物叶片的机械特性,而不需要接触。我们实施了一个基于激光的超声波装置,在热弹性状态下工作,远程产生和检测板波。我们对阿拉比卡咖啡叶样品的中脉和叶面进行了线性和圆形扫描,以获得所研究组织的时域和频域特征图、传播模式和有效弹性常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasonic Wave Propagation for Smart Agriculture: an Arabica Coffee Case of Study
In this work we propose the use of a photoacoustic implementation to rapidly estimate, without contact, mechanical properties of plant leaves. We implemented a laser-based ultrasound setup, operating in thermoelastic regime, to remotely generate and detect plate waves. For both, the midrib and lamina of arabica coffee leaves samples, we performed linear and circular scans in order to obtain the characteristic diagrams in time and frequency domains, the propagating patterns, and the effective elastic constants of the tissues under study.
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