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Soil Nutrient Detection Based on Photonic Crystal Hexagonal Resonator for Smart Farming
Brazilian Journal of Physics ( IF 1.6 ) Pub Date : 2021-03-13 , DOI: 10.1007/s13538-021-00876-w
Elizabeth Caroline Britto , Sathish Kumar Danasegaran , Susan Christina Xavier , Jeyarani Jeyaseelan

A novel soil nutrient sensor (SNS) for smart agriculture is designed using the hexagonal resonator 2D-photonic crystal (PhC) in this article. The PhCs are spatially ordered structures any substrate with repetitive modulation of the refractive index (RI) of any material. It has the efficient light guidance, and it would be beneficial to gain localization in the handling different applications. The permittivity of soil particles is grander to the air, and the propagation characteristics of the electromagnetic waves are modified. In the PhC structure, the dimension of the proposed SNS is 11.4 × 9.2 µm2. The simulation results were analyzed by using the FDTD method using the RSoft tool. The Quality Factor (QF) of 228.6 with 100% output efficiency (η) at resonant wavelength (λr) 1600 nm are achieved. The soil imbalance is identified at the appropriate time by the proposed SNS so that primary retrieval of the crop production is achievable. To the best of the authors knowledge, the PhC-based soil sensor is designed for the first time.



中文翻译:

基于光子晶体六边形共振器的智能耕作土壤养分检测

本文使用六边形谐振器二维光子晶体(PhC)设计了一种用于智能农业的新型土壤养分传感器(SNS)。PhC是具有任意材料的折射率(RI)的重复调制的任何衬底的空间有序结构。它具有有效的光导,在处理不同的应用程序中获得本地化将是有益的。土壤颗粒的介电常数比空气大,并且电磁波的传播特性得到了改善。在PhC结构中,建议的SNS的尺寸为11.4×9.2 µm 2。通过使用RSoft工具的FDTD方法分析了仿真结果。质量因数(QF)为228.6,在共振波长(λ)下具有100%的输出效率(ηr)达到1600 nm。拟议的SNS可在适当的时候识别土壤失衡,从而可以对作物的生产进行初步检索。据作者所知,这是首次设计基于PhC的土壤传感器。

更新日期:2021-04-23
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