Image-based Quality Grading
Image-Based Quality Grading is a computational method in agricultural engineering that uses digital image analysis to objectively assess and classify the external quality attributes of fruits, such as size, color, shape, and surface defects, by applying machine vision algorithms to differentiate produce according to standardized grading criteria.
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2017–2026
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Machine Vision for Color Inspection of Potatoes and Apples
Yu Tao, Paul Heinemann, Zubin Varghese et al. · Transactions of the ASAE · 1995 · 171 citations
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Universitas Gadjah Mada
Yogyakarta, Indonesia
4 h-index
15 publications
386 citations
Universiti Malaysia Perlis
Perlis, Malaysia
3 h-index
13 publications
169 citations

SINTEF
Trondheim, Norway
3 h-index
8 publications
257 citations
Norwegian University of Science and Technology
Trondheim, Norway
3 h-index
5 publications
183 citations

Savitribai Phule Pune University
Pune, India
3 h-index
6 publications
214 citations
Indian Institute of Technology Delhi
New Delhi, India
2 h-index
4 publications
118 citations
University of California, Davis
Davis, United States
2 h-index
4 publications
127 citations
National Engineering Research Center for Information Technology in Agriculture
Beijing, China
2 h-index
2 publications
108 citations
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8 publications · 533 citations
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5 publications · 333 citations
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4 publications · 220 citations
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