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Journal of King Saud University - Computer and Information Sciences· 2018Q1· Review

Fruits and vegetables quality evaluation using computer vision: A review

Anuja Bhargava, Atul Bansal

Short summary

Computer vision techniques can automate fruit and vegetable quality evaluation, addressing limitations of human inspection.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Computer vision offers an automated alternative to manual fruit and vegetable grading.
  • Key quality attributes assessed include color, texture, size, shape, and defects.
  • The review covers essential computer vision steps: preprocessing, segmentation, feature extraction, and classification.
  • Automated systems aim to improve consistency, reduce costs, and enhance efficiency in quality evaluation.

AI-generated from the title and abstract; the full text is not read.

Abstract

In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fruits and vegetables is appearance that impacts their market value, the consumer’s preference and choice. Although, the sorting and grading can be done by human but it is inconsistent, time consuming, variable, subjective, onerous, expensive and easily influenced by surrounding. Hence, an astute fruit grading system is needed. In recent years, various algorithms for sorting and grading are done by various researchers using computer vision. This paper presents a detailed overview of various methods i.e. preprocessing, segmentation, feature extraction, classification which addressed fruits and vegetables quality based on color, texture, size, shape and defects. In this paper, a critical comparison of different algorithm proposed by researchers for quality inspection of fruits and vegetables has been carried out.

The authors' abstract, as published at the source. Journal of King Saud University - Computer and Information Sciences, 2018 · DOI ↗

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Field: Analytical Chemistry

Analytical ChemistryChemistry