Skip to content
Research Article Open access CC BY 4.0

Advances in Multi-Fruit and Vegetable Grading: A Comprehensive Review

Mahendra Daheriya, D. K. Verma, Eresh Kumar Kuruba, K. C. Mahajan, Neerav U. Joshi

International Journal of Environment and Climate Change · pp. 1239–1245 · Published 17 Jul 2023

10.9734/ijecc/2023/v13i92351

Abstract

Grading fruits and vegetables has become essential for cross-border trade. There are various methods and technologies used for grading fruits and vegetables. In India, fruit growers mainly rely on manual grading, which is costly, labour-intensive, and affected by seasonal labour shortages. Manual grading is inefficient, inconsistent, and time-consuming. Grading of fruits and vegetables in ensuring the quality of produce and meeting consumer demands. The World Trade Organization (WTO) emphasizes high-quality graded products, prompting farmers to seek agricultural produce-grading machines for labour alleviation, time savings, and improved quality. Fruit grading enhances value, packaging, handling, and overall marketing. Typically, fruits are graded based on size, making them more desirable for export. Size-based grading methods include various types of graders. Weight grading is based on density and specific gravity. Market responsiveness necessitates improved grading and sorting practices to ensure quality assessment. Size variations in vegetables like potatoes and onions serve as the basis for categorization according to each country's market requirements.

Grading size shape colour manual sorting

Cited by 9

A Survey on Precision Agriculture: Tasks and Techniques

Diwakar Agarwal · AI Computer Science and Robotics Technology · 2026

Machine Vision for External Quality Inspection of Stone Fruits: A Comprehensive Review

Hui Zhang, Jun-Hao Liu, Long Wen · Applied Fruit Science · 2026

Deep Learning-Based Fruit and Vegetable Detection

Jung-Kang Ho, Sumendra Yogarayan, Jashila Nair Mogan · 2024 9th International Conference on Information Technology and Digital Applications (ICITDA) · 2024

Tomato TriSort: Smart Sorting System for Size, Color, and Pest Detection

Amruta Amune, S. Shinde, Aditi Samargade · International Conference on Signals and Electronic Systems · 2024

SiliAI: AI-Driven Robotic System for Efficient Chili Pepper Sorting Using YOLOv8

Hannah Rea S. Abarquez, Angelo Miguel N. Agsolid, James A. Oliveros · International Symposium on Telecommunications · 2024

Finger vision enabled real-time defect detection in robotic harvesting

Hugh Zhou, Ayham Ahmed, Tianhao Liu · Computers and Electronics in Agriculture · 2025

Post-harvest Processing, Packaging, and Commercialization of Underutilized Fruits of India

Vasundra Vijay Bhat, Manpreet Kaur, Akash Deep Shukla · Fruits and Vegetables Technologies · 2025

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

9

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.