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Tomato Analyzer: A Useful Software Application to Collect Accurate and Detailed Morphological and Colorimetric Data from Two-dimensional Objects

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Classification of Kiwifruit Grades Based on Fruit Shape Using a Single Camera.

Longsheng Fu¹, Shipeng Sun², Rui Li³

¹College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, China. fulsh@nwsuaf.edu.cn.

Sensors (Basel, Switzerland)

|July 5, 2016

Summary

Adding a single camera to kiwifruit sorting lines enables accurate shape grading. This technology significantly improves fruit classification success rates, meeting international standards for kiwifruit quality assessment.

Keywords:

Chinese grading standards fruit shape image processing method international grading standards kiwifruit grading

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Area of Science:

Agricultural Engineering
Horticulture
Computer Vision

Background:

Current Chinese kiwifruit sorting lines primarily use weight sensors.
Accurate fruit shape classification is crucial for meeting international grading standards.
Integrating visual data can enhance sorting line capabilities.

Purpose of the Study:

To assess the feasibility of classifying kiwifruit by shape using a single camera on existing sorting lines.
To develop image processing models for estimating key fruit dimensions.
To improve the accuracy of kiwifruit shape grading.

Main Methods:

Utilized image processing to measure fruit length, maximum equatorial diameter, and projected area.
Applied stepwise multiple linear regression to predict minimum equatorial diameter and volume.
Developed classification models based on estimated dimensions and ratios.

Main Results:

Estimated minimum diameter with R²=0.82 using length, max diameter, and weight.
Estimated volume with R²=0.98 using weight and length.
Achieved 98.3% classification accuracy using a combination of dimensional ratios.

Conclusions:

A single camera can effectively enhance Chinese kiwifruit sorting lines for international shape grading.
Image processing and regression models provide accurate estimations of kiwifruit dimensions.
The proposed method significantly improves fruit classification accuracy for quality control.