An Enhanced Framework for Categorization of Fruits Based on Ripeness using Ensemble PSO Model

International Journal of Electronics and Communication Engineering

© 2023 by SSRG - IJECE Journal

Volume 10 Issue 5

Year of Publication : 2023

Authors : Muthulakshmi Arumugasamy, A. Antonidoss

10.14445/23488549/IJECE-V10I5P107

How to Cite?

Muthulakshmi Arumugasamy, A. Antonidoss, "An Enhanced Framework for Categorization of Fruits Based on Ripeness using Ensemble PSO Model," SSRG International Journal of Electronics and Communication Engineering, vol. 10,  no. 5, pp. 76-84, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I5P107

Abstract:

Ripeness-based categorization is a vital function after the harvest of fruits to balance the ripening treatment. Ripeness level is the significant factor determining the quality and lifetime of fruits. Various attributes are used to identify the ripeness level, of which the manual method of categorizing based on skin colour is predominantly used. This method is prone to error at many times. This paper implements an Ensemble Particle Swarm Optimization (EnPSO) algorithm to categorize the fruits based on the ripeness level. The comparison reveals that the proposed EnPSO algorithm outperforms the state-of-the-art algorithms used for the same problem. Categorization is done using the decision tree, which provides up to 98% classification accuracy.

Keywords:

Categorization, Ensemble particle swarm optimization, Quality and lifetime, Ripeness level

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