The ontology model for selecting quality melons uses hidden semantic data based on melon knowledge domains

Ubaidillah Umar*, Tri Arief Sardjono, Hendra Kusuma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A quality-oriented melon selection process is an important factor in increasing consumers willingness to pay. However, unlike most fruits, melons are usually sold whole, making it difficult to choose a perfectly ripe and sweet melon, as skin color and texture play an important role in this. From a marketing perspective, the selling power of melons is influenced by demand and supply. This paper presents a new approach by utilizing hidden semantic data on melon images derived from digital images. Semantic information on the surface of the melon is described, extracted, and shared as domain knowledge using an ontology approach that allows the relationship between parameters to produce descriptions and actions in determining the quality of the melon. Using K-Nearest Neighbor (KNN) to model the data that has been obtained from the visual data extraction process An information description approach using an ontology guided by KNN in determining the quality of the proposed melons can assist farmers in classifying quality melons at reasonable prices with limited human involvement.

Original languageEnglish
Title of host publication13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-100
Number of pages6
ISBN (Electronic)9798350347319
DOIs
Publication statusPublished - 2023
Event13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023 - Penang, Malaysia
Duration: 20 May 202321 May 2023

Publication series

Name13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023

Conference

Conference13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023
Country/TerritoryMalaysia
CityPenang
Period20/05/2321/05/23

Keywords

  • Decision Support System
  • Image Processing
  • KNN
  • Knowledge Modeling
  • Melon
  • Ontology

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