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Pesticide Residue Quantification Analysis by Hyperspectral Imaging Sensors

机译:高光谱成像传感器对农药残留的定量分析

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摘要

Pesticide residue detection in agriculture crops is a challenging issue and is even more difficult to quantify pesticide residue resident in agriculture produces and fruits. This paper conducts a series of base-line experiments which are particularly designed for three specific pesticides commonly used in Taiwan. The materials used for experiments are single leaves of vegetable produces which are being contaminated by various amount of concentration of pesticides. Two sensors are used to collected data. One is Fourier Transform Infrared (FTIR) spectroscopy. The other is a hyperspectral sensor, called Geophysical & Environmental Research (GER) 2600 spectroradiometer which is a battery-operated field portable spectroradiometer with full real-time data acquisition from 350 nm to 2500 nm. In order to quantify data with different levels of pesticide residue concentration, several measures for spectral discrimination are developed. Mores specifically, new measures for calculating relative power between two sensors are particularly designed to be able to evaluate effectiveness of each of sensors in quantifying the used pesticide residues. The experimental results show that the GER is a better sensor than FTIR in the sense of pesticide residue quantification.
机译:农业作物中农药残留的检测是一个具有挑战性的问题,甚至更难量化农产品和水果中残留的农药残留。本文进行了一系列基线实验,这些实验专门针对台湾常用的三种特定农药而设计。实验所用的材料是蔬菜单叶,受到各种浓度的农药污染。两个传感器用于收集数据。一种是傅立叶变换红外(FTIR)光谱。另一个是称为地球物理与环境研究(GER)2600光谱仪的高光谱传感器,它是电池供电的现场便携式光谱仪,具有从350 nm到2500 nm的全实时数据采集。为了量化具有不同农药残留浓度水平的数据,开发了几种用于光谱鉴别的措施。更具体地说,特别设计了用于计算两个传感器之间的相对功率的新措施,以便能够评估每个传感器在量化所用农药残留量方面的有效性。实验结果表明,在农药残留定量方面,GER比FTIR更好。

著录项

  • 来源
  • 会议地点 Baltimore MY(US)
  • 作者单位

    Department of Computer Science and Information Management, Providence University, Taichung, Taiwan, ROC;

    Taiwan Agricultural Research Institute, Nan-Tou, Taiwan, ROC;

    Taiwan Agricultural Research Institute, Nan-Tou, Taiwan, ROC;

    Taiwan Agricultural Research Institute, Nan-Tou, Taiwan, ROC;

    Taiwan Agricultural Research Institute, Nan-Tou, Taiwan, ROC;

    Taiwan Agricultural Research Institute, Nan-Tou, Taiwan, ROC;

    Department of Computer Science and Information Management, Providence University, Taichung, Taiwan, ROC;

    Department of Forestry and Natural Resources, National Chiayi University, Chiayi, Taiwan, ROC;

    Center for Quantitative Imaging in Medicine, Taichung Veterans General Hospital, Taichung, Taiwan, ROC;

    Department of Electrical Engineering, National Chung Hsing University, Taiwan, ROC;

    Department of Electrical Engineering, National Taipei University of Technology, Taipei, ROC;

    Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin, ROC;

    Remote Sensing Signal and Image Processing Laboratory Department of Computer Science and Electrical Engineering University of Maryland, Baltimore County, Baltimore, MD 21250;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    FTIR; GER; Pesticide detection; Spectral angle mapper (SAM); Spectral information divergence (SID);

    机译:FTIR;德国农药检测;光谱角映射器(SAM);光谱信息分歧(SID);

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