Image-based Grading
Image-Based Grading is a computational assessment method that distinguishes itself by utilizing visual data from digital imagery to objectively classify the quality or ripeness of harvested agricultural products according to predefined morphological, colorimetric, or textural criteria.
404
Publications
16.8K
Citations
1.5K
Authors
488
Institutions
Publications per year
2017–2026
153
404
Amber A. van der Heijden, Michael D. Abràmoff, Frank D. Verbraak et al. · Acta Ophthalmologica · 2017 · 299 citations · Full text
1–5 of 404
1.5K
9
h-index
5
h-index
4
h-index
4
h-index
4
h-index
1–5 of 1.5K
488
China Agricultural University
Beijing, China
6 h-index
17 publications
1.2K citations

University of Tehran
Tehran, Iran
6 h-index
16 publications
910 citations
Uka Tarsadia University
Surat, India
5 h-index
10 publications
270 citations

University of Mohaghegh Ardabili
Ardabil, Iran
5 h-index
9 publications
378 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
5 h-index
17 publications
456 citations
Universiti Malaysia Perlis
Perlis, Malaysia
5 h-index
18 publications
433 citations

Cotton (United States)
Cary, United States
4 h-index
5 publications
92 citations
Nanjing Agricultural University
Nanjing, China
4 h-index
17 publications
481 citations
1–8 of 488
20 publications · 1.9K citations
18
h-index
14 publications · 982 citations
13
h-index
10 publications · 238 citations
10
h-index
9 publications · 525 citations
9
h-index
5 publications · 62 citations
5
h-index
1–5