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Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

机译：机器学习驱动的太赫兹波估算植物活体水分的非侵入性方法

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摘要

Experimental setup of Swiss 12 MCK system used for measurements of leaves in the frequency range from 0.75 to 1.1 THz

机译：Swiss 12 MCK系统的实验装置，用于测量0.75至1.1 THz频率范围内的叶片

著录项

期刊名称 Plant Methods
作者
Adnan Zahid; Hasan T. Abbas; Aifeng Ren; Ahmed Zoha; Hadi Heidari; Syed A. Shah; Muhammad A. Imran; Akram Alomainy; Qammer H. Abbasi;
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作者单位

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年(卷),期 2019(15),-1
年度 2019
页码 -1
总页数 13
原文格式 PDF
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中图分类
关键词
Water content; Plant leaves; Terahertz (THz); Sensing; Agriculture; Classification; Machine learning;

机译：水分;植物叶片;太赫兹（THz）;传感;农业;分类;机器学习;

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专利

1. Instantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leaves [J] . María Dolores Fari?as, Daniel Jimenez-Carretero, Domingo Sancho-Knapik, Plant methods . 2019,第1期

机译：基于深度学习的瞬时和无损相对含水量估算应用于植物叶片共振超声谱
2. Non-invasive estimation of relative water content in soybean leaves using infraredthermography [J] . Sharmistha Swain, Donald Rundquist, Timothy J. Arkebauer, Israel Journal of Plant Sciences . 2012,第1a2期

机译：红外热成像法无损估计大豆叶片中的相对含水量
3. Estimation of nitrogen, phosphorus, and potassium contents in the leaves of different plants using laboratory-based visible and near-infrared reflectance spectroscopy: comparison of partial least-square regression and support vector machine regression methods [J] . Yanfang Zhai, Lijuan Cui, Xin Zhou, International journal of remote sensing . 2013,第7a8期

机译：基于实验室的可见光和近红外反射光谱法估算不同植物叶片中氮，磷和钾的含量：偏最小二乘回归和支持向量机回归方法的比较
4. Terahertz characterisation of living plant leaves for quality of life assessment applications [C] . Adnan Zahid, Ke Yang, Hadi Heidari, 2018 Baltic URSI Symposium . 2018

机译：太赫兹表征生活植物叶片的生活质量评估应用
5. Assimilation of Passive Microwave Brightness Temperatures for Snow Water Equivalent Estimation Using the Nasa Catchment Land Surface Model and Machine Learning Algorithms in North America [D] . Xue, Yuan. 2017

机译：美国宇航局集水区土地面模型及北美机械学习算法的雪水等效估计被动微波亮度温度的同化
6. Instantaneous and non-destructive relative water content estimation from deep learning applied to resonant ultrasonic spectra of plant leaves [O] . María Dolores Fariñas, Daniel Jimenez-Carretero, Domingo Sancho-Knapik, 2019

机译：基于深度学习的瞬时和无损相对含水量估算在植物叶片共振超声光谱中的应用
7. The Classification of Medicinal Plant Leaves Based on Multispectral and Texture Feature Using Machine Learning Approach [O] . Samreen Naeem, Aqib Ali, Christophe Chesneau, 2021

机译：基于多光谱和纹理特征的药用植物叶片使用机器学习方法分类

Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

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