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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 4, APRIL 2023

Freshness Analysis of Fruits Using Machine Learning

Gowrav R Hegde, Shreelaxmi, Shreyitha, Sourav N Shetty, Prakash L S

DOI: 10.17148/IJARCCE.2023.12455

Abstract: Fruit ripening is a normal process. Fruit naturally produces ethylene, which is what causes fruit to mature. But to speed up this process so their product will hit the market earlier and they can optimise profit, dealers and sellers frequently use chemicals like CaC2. Chemicals are used to preserve fruits in storage. This substance reacts with moisture to create ethylene, which causes the berry to ripen. Contrary to when a fruit ripens naturally, which results in uneven ripening because natural ethylene present in fruits is unevenly distributed, when ethylene is present in large quantities and comes into contact with the fruit's surface area, it uniformly causes the fruit to ripen.Therefore, the suggested method obtains a picture of the fruit being tested and compares it to the characteristics of naturally and artificially ripened fruit before providing an output with a probability. This technique uses a smartphone running an Android programme.

How to Cite:

[1] Gowrav R Hegde, Shreelaxmi, Shreyitha, Sourav N Shetty, Prakash L S, “Freshness Analysis of Fruits Using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12455