High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation
Type:
Title:
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation
Creator:
Volpato, L.;
Pinto Espinosa, F.;
Gonzalez-Perez, L.;
Thompson, I.G.;
Borém, A.;
Reynolds, M.P.;
https://orcid.org/0000-0002-4291-4316
Scopus ID
Researcher ID
Items in this Repository
View
Gerard, B.;
Molero, G.;
Rodrigues, F.
https://orcid.org/0000-0001-7273-2217
Scopus ID
Researcher ID
Mendeley
Items in this Repository
View
Pinto Espinosa, F.;

Gonzalez-Perez, L.;
Thompson, I.G.;
Borém, A.;
Reynolds, M.P.;

Reynolds, M.P.



View
Gerard, B.;

Molero, G.;
Rodrigues, F.

Rodrigues, F.




View
Year:
2021
Copyright:
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal:
Frontiers in Plant Science
Journal volume:
12
Article number:
591587
Place of Publication:
Switzerland
Publisher:
Frontiers
Citation:
High throughput field phenotyping for plant height using UAV-based RGB imagery in wheat breeding lines: feasibility and validation. 2021. 12 DOI: 10.3389/fpls.2021.591587 Frontiers.