Image-based Trait Extraction
Image-Based Trait Extraction is a computational method that identifies and quantifies phenotypic traits from visual data, distinguished by its reliance on image analysis techniques to capture morphological, physiological, or behavioral characteristics indicative of stress responses in biological organisms.
22
Publications
876
Citations
123
Authors
51
Institutions
Publications per year
2017–2026
14
Parents
22
Computer vision and machine learning enabled soybean root phenotyping pipeline
Kevin G. Falk, Talukder Z. Jubery, Seyed Vahid Mirnezami et al. · Plant Methods · 2020 · 133 citations · Full text
Agriculture, Agronomy, Crop Sciences +17
1–5 of 22
123
Swiss Federal Institute of Aquatic Science and Technology, Switzerland
2 publications · 171 citations
2
h-index
1
h-index
1
h-index
Florida Department of Agriculture and Consumer Services, United States
1 publications · 14 citations
1
h-index
1
h-index
1–5 of 123
51

Lund University
Lund, Sweden
2 h-index
4 publications
457 citations
Iowa State University
Ames, United States
2 h-index
15 publications
1.2K citations
Agrifood Research Finland
Jokioinen, Finland
1 h-index
1 publications
24 citations
German Centre for Integrative Biodiversity Research
Leipzig, Germany
1 h-index
2 publications
26 citations

International Rice Research Institute
Los Baños, Philippines
1 h-index
2 publications
28 citations
Instituto de Investigación en Recursos Cinegéticos
Ciudad Real, Spain
1 h-index
1 publications
21 citations
University of Chicago
Chicago, United States
1 h-index
1 publications
143 citations
Royal Botanic Garden Sydney
Sydney, Australia
1 h-index
2 publications
28 citations
1–8 of 51
2 publications · 127 citations
2
h-index
1 publications · 22 citations
1
h-index
1 publications · 50 citations
1
h-index
1 publications · 13 citations
1
h-index
JIA · 1 publications · 23 citations
1
h-index
1–5