基于可见光谱学的移动应用和低成本便携式农药残留检测器的开发

A. W. Setiawan, Ferriady Setiawan, Muhamad A.A.E. Assaidi, Dasi E. Akbar, R. Mengko
{"title":"基于可见光谱学的移动应用和低成本便携式农药残留检测器的开发","authors":"A. W. Setiawan, Ferriady Setiawan, Muhamad A.A.E. Assaidi, Dasi E. Akbar, R. Mengko","doi":"10.1109/CENIM48368.2019.8973331","DOIUrl":null,"url":null,"abstract":"To increase the crop production, majority of farmer use pesticide, even though there SNI 7313:2008 on pesticide maximum residue level in agriculture product. It is important to develop an instrument to detect this pesticide residue. The purpose of this research is to develop a rapid and nondestructive pesticide residue detector. In this research, the visible light spectroscopy is used. One of the main reason to use this spectroscopy method is to reduce the cost of hardware implementation, and the instrument can be categorized as low-cost instrument. The limitations of this research are the type of pesticide and vegetable that can be detected is only carbaryl and Chinese cabbage. In conclusion, the cost of implementation is about $139 and dimension of the first prototype is about 11.8 × 11.7 × 9.8 cm, and the weight is about 285 gr. This study also found that the 660 nm LED has better performance than 620 nm LED to detect the carbaryl residue in Chinese cabbage.","PeriodicalId":106778,"journal":{"name":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"34 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of Mobile Applications and Low Cost Portable Pesticide Residue Detector using Visible Light Spectroscopy\",\"authors\":\"A. W. Setiawan, Ferriady Setiawan, Muhamad A.A.E. Assaidi, Dasi E. Akbar, R. Mengko\",\"doi\":\"10.1109/CENIM48368.2019.8973331\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To increase the crop production, majority of farmer use pesticide, even though there SNI 7313:2008 on pesticide maximum residue level in agriculture product. It is important to develop an instrument to detect this pesticide residue. The purpose of this research is to develop a rapid and nondestructive pesticide residue detector. In this research, the visible light spectroscopy is used. One of the main reason to use this spectroscopy method is to reduce the cost of hardware implementation, and the instrument can be categorized as low-cost instrument. The limitations of this research are the type of pesticide and vegetable that can be detected is only carbaryl and Chinese cabbage. In conclusion, the cost of implementation is about $139 and dimension of the first prototype is about 11.8 × 11.7 × 9.8 cm, and the weight is about 285 gr. This study also found that the 660 nm LED has better performance than 620 nm LED to detect the carbaryl residue in Chinese cabbage.\",\"PeriodicalId\":106778,\"journal\":{\"name\":\"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"volume\":\"34 7\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CENIM48368.2019.8973331\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CENIM48368.2019.8973331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了提高作物产量,大多数农民使用农药,尽管有SNI 7313:2008对农产品中农药最大残留限量的规定。研制一种检测该农药残留的仪器具有重要意义。本研究的目的是研制一种快速、无损的农药残留检测仪。本研究采用了可见光光谱技术。采用这种光谱方法的主要原因之一是降低硬件实现成本,仪器可归类为低成本仪器。本研究的局限性在于能检测到的农药和蔬菜种类仅为西维因和大白菜。综上所述,实现成本约为139美元,第一个原型尺寸约为11.8 × 11.7 × 9.8 cm,重量约为285 gr。本研究还发现,660 nm LED检测大白菜中西维因残留的性能优于620 nm LED。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Mobile Applications and Low Cost Portable Pesticide Residue Detector using Visible Light Spectroscopy
To increase the crop production, majority of farmer use pesticide, even though there SNI 7313:2008 on pesticide maximum residue level in agriculture product. It is important to develop an instrument to detect this pesticide residue. The purpose of this research is to develop a rapid and nondestructive pesticide residue detector. In this research, the visible light spectroscopy is used. One of the main reason to use this spectroscopy method is to reduce the cost of hardware implementation, and the instrument can be categorized as low-cost instrument. The limitations of this research are the type of pesticide and vegetable that can be detected is only carbaryl and Chinese cabbage. In conclusion, the cost of implementation is about $139 and dimension of the first prototype is about 11.8 × 11.7 × 9.8 cm, and the weight is about 285 gr. This study also found that the 660 nm LED has better performance than 620 nm LED to detect the carbaryl residue in Chinese cabbage.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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