Department of Physics, Indian Institute of Technology Delhi, New Delhi 110016, India.
DRDO-Industry-Academia Center of Excellence, Indian Institute of Technology Delhi, New Delhi 110016, India.
Sensors (Basel). 2023 Mar 2;23(5):2721. doi: 10.3390/s23052721.
To reduce the water footprint in agriculture, the recent push toward precision irrigation management has initiated a sharp rise in photonics-based hydration sensing in plants in a non-contact, non-invasive manner. Here, this aspect of sensing was employed in the terahertz (THz) range for mapping liquid water in the plucked leaves of and . Two complementary techniques, broadband THz time-domain spectroscopic imaging and THz quantum cascade laser-based imaging, were utilized. The resulting hydration maps capture the spatial variations within the leaves as well as the hydration dynamics in various time scales. Although both techniques employed raster scanning to acquire the THz image, the results provide very distinct and different information. Terahertz time-domain spectroscopy provides rich spectral and phase information detailing the dehydration effects on the leaf structure, while THz quantum cascade laser-based laser feedback interferometry gives insight into the fast dynamic variation in dehydration patterns.
为了减少农业中的水资源足迹,最近推动的精准灌溉管理以非接触、非侵入的方式在光子学植物水合作用传感方面引发了急剧的增长。在这里,该传感方面在太赫兹(THz)范围内用于绘制 和 的采摘叶片中的液态水。采用了两种互补技术,宽带太赫兹时域光谱成像和太赫兹量子级联激光成像。得到的水合图捕获了叶片内的空间变化以及各种时间尺度上的水合动力学。尽管两种技术都采用光栅扫描来获取太赫兹图像,但结果提供了非常不同和不同的信息。太赫兹时域光谱提供了丰富的光谱和相位信息,详细说明了叶片结构的脱水效果,而基于太赫兹量子级联激光的激光反馈干涉技术则深入了解了脱水模式的快速动态变化。