Concepedia

Trait Extraction Algorithms

Trait Extraction Algorithms is a computational methodology within crop phenotyping that systematically identifies and quantifies specific morphological, physiological, or biochemical characteristics from phenotypic data by applying image analysis, machine learning, or signal processing techniques to distinguish genetically or environmentally influenced traits.

97

Publications

5.4K

Citations

558

Authors

192

Institutions

Publications per year

2017–2026

72

Parents

Publications

97

Weakly supervised learning of biomedical information extraction from curated data

Suvir Jain, Rahul Kashyap, Tsung-Ting Kuo et al. · BMC Bioinformatics · 2016 · 459 citations · Full text

, , +13

GiA Roots: software for the high throughput analysis of plant root system architecture

Taras Galkovskyi, Yuriy Mileyko, Alexander Bucksch et al. · BMC Plant Biology · 2012 · 399 citations · Full text

, , +17

Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics

Abhiram Das, Hannah Schneider, James Burridge et al. · Plant Methods · 2015 · 211 citations · Full text

, , +17

A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist et al. · Plant Methods · 2017 · 207 citations · Full text

, , +17

Integrating artificial intelligence and high-throughput phenotyping for crop improvement

Mansoor Sheikh, Farooq Iqra, Ambreen Hamadani et al. · Journal of Integrative Agriculture · 2023 · 147 citations · Full text

, , +13

1–5 of 97

Authors

558

  1. BG
    Baskar Ganapathysubramanian

    Iowa State University, United States

    6 publications · 619 citations

    6

    h-index

  2. SS
    Soumik Sarkar

    Iowa State University, United States

    4 publications · 472 citations

    4

    h-index

  3. CD
    Cosme Damião Cruz

    Universidade Federal de Viçosa, Brazil

    4 publications · 101 citations

    4

    h-index

  4. AK
    Asheesh K. Singh

    Iowa State University, United States

    5 publications · 605 citations

    4

    h-index

  5. PS
    Patrick S. Schnable

    Iowa State University, United States

    3 publications · 162 citations

    3

    h-index

1–5 of 558

Institutions

192

  1. Iowa State University

    Ames, United States

    11 h-index

    68 publications

    6.7K citations

  2. Huazhong Agricultural University

    Wuhan, China

    5 h-index

    29 publications

    2.8K citations

  3. China Agricultural University

    Beijing, China

    4 h-index

    13 publications

    561 citations

  4. Universidade Federal de Viçosa

    Viçosa, Brazil

    4 h-index

    18 publications

    514 citations

  5. Brazilian Agricultural Research Corporation

    Brasília, Brazil

    4 h-index

    9 publications

    275 citations

  6. National Engineering Research Center for Information Technology in Agriculture

    Beijing, China

    4 h-index

    22 publications

    876 citations

  7. Nanjing Agricultural University

    Nanjing, China

    3 h-index

    11 publications

    354 citations

  8. University of Wisconsin–Madison

    Madison, United States

    3 h-index

    11 publications

    687 citations

1–8 of 192

Venues

  1. Plant Methods

    10 publications · 877 citations

    10

    h-index

  2. Computers and Electronics in Agriculture

    8 publications · 567 citations

    8

    h-index

  3. Frontiers in Plant Science

    7 publications · 230 citations

    7

    h-index

  4. PLoS ONE

    6 publications · 245 citations

    6

    h-index

  5. Scientific Reports

    4 publications · 321 citations

    4

    h-index

1–5