Automated trichome counting in soybean using advanced image‐processing techniques-Reference-Cited by-同舟云学术

Automated trichome counting in soybean using advanced image‐processing techniques

Published:2020-07 Issue:7 Volume:8 Page:
ISSN:2168-0450
Container-title:Applications in Plant Sciences
language:en
Short-container-title:Appl Plant Sci

Author:

Mirnezami Seyed Vahid¹²,Young Therin¹,Assefa Teshale³,Prichard Shelby⁴,Nagasubramanian Koushik¹,Sandhu Kulbir³,Sarkar Soumik¹,Sundararajan Sriram¹,O’Neal Matt E.⁴,Ganapathysubramanian Baskar¹,Singh Arti³^ORCID

Affiliation:

1. Department of Mechanical Engineering Iowa State University Ames Iowa USA

2. Colaberry Inc. 200 Portland Street Boston Massachusetts02114USA

3. Department of Agronomy Iowa State University Ames Iowa USA

4. Department of Entomology Iowa State University Iowa USA

Funder

Iowa Soybean Association

National Institute of Food and Agriculture

Iowa State University

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aps3.11375

Reference37 articles.

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4. USDA soybean genetic collection: isoline collection;Bernard R. L.;Soybean Genetics Newsletter,1991

5. Evolutionary studies of the soybean: the frequency and distribution of alleles among collections of Glycine Max and G. Soja of various origin

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