Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Seyed V. Mirnezami"'
Autor:
Kevin G. Falk, Talukder Z. Jubery, Seyed V. Mirnezami, Kyle A. Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K. Singh
Publikováno v:
Plant Methods, Vol 16, Iss 1, Pp 1-19 (2020)
Abstract Background Root system architecture (RSA) traits are of interest for breeding selection; however, measurement of these traits is difficult, resource intensive, and results in large variability. The advent of computer vision and machine learn
Externí odkaz:
https://doaj.org/article/39b2009a81d3413da0b3c57cfd768acc
Autor:
Falk, Kevin G.1 (AUTHOR), Jubery, Talukder Z.2 (AUTHOR), Mirnezami, Seyed V.2 (AUTHOR), Parmley, Kyle A.1 (AUTHOR), Sarkar, Soumik2 (AUTHOR), Singh, Arti1 (AUTHOR), Ganapathysubramanian, Baskar2 (AUTHOR) baskarg@iastate.edu, Singh, Asheesh K.1 (AUTHOR) singhak@iastate.edu
Publikováno v:
Plant Methods. 1/23/2020, Vol. 16 Issue 1, p1-19. 19p.
Autor:
Jianfeng Zhou, Henry T. Nguyen
This book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments
