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  Published Paper Details:

  Paper Title

QUALITY DEDUCTION OF FRUITS AND VEGETABLES USING THERMAL IMAGE PROCESSING TECHNIQUE

  Authors

  Dr.A.Reni,  Prathyusha K S

  Keywords

Vegetable, Thermal Image processing, Quality Detector, IR Image sensor, non-destructive method

  Abstract


With the globalization of world trade as well as the increasing demand of high-quality and safe agricultural products and food by consumers, many countries pay close attention to a more stringent food safety and quality standards. The use of this technology is to detect infrared radiation meaning the heat source and it generates the electrical signals from these laser signals. At present times traditional grading methods have been used broadly, but high cost and some inconsistencies guide post harvesting industry led to automation applications in classification operations. Inconsistencies associated with manual grading decrease when automated grading systems are used, resulting in decrease of the error rate and cost, while on the other-hand it speeds the increases. Tedious human inspection task for sorting vegetables, is reduced by designing an automated system consisting of developed conveyer platforms.This project suggests an efficient non-destructive Infrared Thermal Image Processing Technique for Quality Detection cum separation of vegetables mainlyto prevent the post-harvest losses.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2206023

  Paper ID - 220982

  Page Number(s) - i663-i669

  Pubished in - Volume 10 | Issue 5 | May 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.A.Reni,  Prathyusha K S,   "QUALITY DEDUCTION OF FRUITS AND VEGETABLES USING THERMAL IMAGE PROCESSING TECHNIQUE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.i663-i669, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2206023.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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