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Application of Near-Infrared Spectrometer in Agro-Food Analysis: A Review

by Rohinee M. Misal, Ratnadeep R. Deshmukh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 141 - Number 7
Year of Publication: 2016
Authors: Rohinee M. Misal, Ratnadeep R. Deshmukh
10.5120/ijca2016909701

Rohinee M. Misal, Ratnadeep R. Deshmukh . Application of Near-Infrared Spectrometer in Agro-Food Analysis: A Review. International Journal of Computer Applications. 141, 7 ( May 2016), 18-20. DOI=10.5120/ijca2016909701

@article{ 10.5120/ijca2016909701,
author = { Rohinee M. Misal, Ratnadeep R. Deshmukh },
title = { Application of Near-Infrared Spectrometer in Agro-Food Analysis: A Review },
journal = { International Journal of Computer Applications },
issue_date = { May 2016 },
volume = { 141 },
number = { 7 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = { 18-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume141/number7/24797-2016909701/ },
doi = { 10.5120/ijca2016909701 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:42:50.685063+05:30
%A Rohinee M. Misal
%A Ratnadeep R. Deshmukh
%T Application of Near-Infrared Spectrometer in Agro-Food Analysis: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 7
%P 18-20
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this review paper applications of Near Infrared (NIR) spectroscopy in agro-food analysis is discussed. NIR spectrometers have a wider application use in agro-food industry and many fields. In agro-food industry application includes pesticide residue detection, chemical detection, microbiological hazard detection, physical hazards detection and food safety and traceability. In addition spectrometer are explored within various fields of agricultural products include food, fruits, vegetables, crops and dairy products, oil and beverages.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Spectroscopy pesticide residue principal component analysis artificial neural network

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