Development of low-cost leaf spectroscopy based on featured wavelength extraction by fix-bandwidth Gaussian mixture model

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Xingming Long, Ruoshuang Zhang, Jing Zhou
{"title":"Development of low-cost leaf spectroscopy based on featured wavelength extraction by fix-bandwidth Gaussian mixture model","authors":"Xingming Long,&nbsp;Ruoshuang Zhang,&nbsp;Jing Zhou","doi":"10.1049/smt2.12139","DOIUrl":null,"url":null,"abstract":"<p>Light spectrum analysis of leaves plays an essential role in measuring the contents of carbohydrates and other important compound like proteins. And it is also useful in evaluating the status of vegetation by remote sensing. Here, an approximation method considering the optical response characteristics of multispectral silicon (Si) sensor for the reflection or absorption spectra of leaves is proposed. The light spectrum is analysed by Gaussian mixture models (GMM) with fixed bandwidth firstly, and then the optimal model parameters are derived and validated to balance the complexity of Si sensor and the 2-norm deviation of spectra, and next a low-cost framework for the leaf spectroscopy with wireless node is illustrated according to the specific centre-wavelengths and bandwidths of the GMM, and finally, an experimental prototype with 18-channel Si sensor node and the developed mobile APP is demonstrated. The simplified strategy and its realization for leaf spectroscopy cast light on large-scale applications in future agriculture.</p>","PeriodicalId":54999,"journal":{"name":"Iet Science Measurement & Technology","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/smt2.12139","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Science Measurement & Technology","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/smt2.12139","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Light spectrum analysis of leaves plays an essential role in measuring the contents of carbohydrates and other important compound like proteins. And it is also useful in evaluating the status of vegetation by remote sensing. Here, an approximation method considering the optical response characteristics of multispectral silicon (Si) sensor for the reflection or absorption spectra of leaves is proposed. The light spectrum is analysed by Gaussian mixture models (GMM) with fixed bandwidth firstly, and then the optimal model parameters are derived and validated to balance the complexity of Si sensor and the 2-norm deviation of spectra, and next a low-cost framework for the leaf spectroscopy with wireless node is illustrated according to the specific centre-wavelengths and bandwidths of the GMM, and finally, an experimental prototype with 18-channel Si sensor node and the developed mobile APP is demonstrated. The simplified strategy and its realization for leaf spectroscopy cast light on large-scale applications in future agriculture.

Abstract Image

基于固定带宽高斯混合模型特征波长提取的低成本叶片光谱研究
叶片的光谱分析在测量碳水化合物和其他重要化合物类蛋白质的含量方面起着至关重要的作用。它也有助于通过遥感评估植被状况。本文提出了一种考虑多光谱硅传感器对叶片反射或吸收光谱的光学响应特性的近似方法。首先利用固定带宽的高斯混合模型(GMM)对光谱进行分析,然后推导并验证了最佳模型参数,以平衡硅传感器的复杂性和光谱的2模偏差,然后根据GMM的特定中心波长和带宽,给出了一个低成本的无线节点叶谱框架,最后,给出了一个带有18通道硅传感器节点的实验样机和所开发的移动APP。叶片光谱的简化策略及其实现为未来农业的大规模应用带来了光明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信