Melola Discovery

← Melola Discovery

Open access Jurnal SINTA 1

Development of an internet of things based smart cold storage with inventory monitoring system

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 15 No. 1 (2025)

DOI
10.11591/ijece.v15i1.pp89-98
ISSN
2722-2578, 2088-8708
Published
2025-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Consuming fresh drupes, vegetables can help lower a chance of developing several chronic diseases. Unfortunately, the post-harvest life cycle's storage stage is where fruits and vegetables (FVs) lose the most of all the food that is produced annually. A failure to recognize important ambient environmental conditions when using cold storage seems to be the main causes of this elevated loss rate. The current monitoring systems for cold storage are only able to measure warmth and moistness and ignoring further crucial acceptable surrounding factors of radiance and gas quantity. Serious matter gets handled in order to lower the system’s harm degree. The real time intelligent monitoring and notification system (RT-IMNS) for icy container is described briefly in the paper. It employs a device management platform (IoT)-enabled technique to continuously monitor hotness, comparative moisture, brightness, fume quantity and alert staff when dangerous thresholds are reached.

Collaboration network of the authors

4 authors · 6 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Sri Eshwar College of Engineering
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Development of an internet of things based smart cold storage with inventory monitoring system</dc:title><dc:creator>Angappan, Suganya</dc:creator><dc:creator>Nataraj, Aarthi</dc:creator><dc:creator>Krishnan, Loganathan Navaneetha</dc:creator><dc:creator>Palanisamy, Anbarasu</dc:creator><dc:description>&lt;jats:p&gt;Consuming fresh drupes, vegetables can help lower a chance of developing several chronic diseases. Unfortunately, the post-harvest life cycle's storage stage is where fruits and vegetables (FVs) lose the most of all the food that is produced annually. A failure to recognize important ambient environmental conditions when using cold storage seems to be the main causes of this elevated loss rate. The current monitoring systems for cold storage are only able to measure warmth and moistness and ignoring further crucial acceptable surrounding factors of radiance and gas quantity. Serious matter gets handled in order to lower the system’s harm degree. The real time intelligent monitoring and notification system (RT-IMNS) for icy container is described briefly in the paper. It employs a device management platform (IoT)-enabled technique to continuously monitor hotness, comparative moisture, brightness, fume quantity and alert staff when dangerous thresholds are reached.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2025-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v15i1.pp89-98</dc:identifier><dc:identifier>10.11591/ijece.v15i1.pp89-98</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 15 No 1 (2025); 89</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/36054/17911</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>