Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques
Type:
Title:
Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques
Author:
Buchaillot, M.L.;
Gracia-Romero, A.;
Vergara Diaz, O.;
Zaman-Allah, M.;
https://orcid.org/0000-0002-8120-5125
Scopus ID
Researcher ID
Mendeley
Items in this Repository
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Amsal Tesfaye Tarekegne;
Cairns, J.E.;
Prasanna, B.M.;
Araus, J.L.;
Kefauver, S.C.
Gracia-Romero, A.;
Vergara Diaz, O.;
Zaman-Allah, M.;

Zaman-Allah, M.




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Amsal Tesfaye Tarekegne;
Cairns, J.E.;

Prasanna, B.M.;

Araus, J.L.;
Kefauver, S.C.
Year:
2019
Copyright:
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Journal:
Sensors
Journal volume:
19
Journal issue:
8
Pages:
art. 1815
DOI:
Place of Publication:
Basel (Switzerland)
Publisher:
MDPI
Citation:
Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques. 2019. Buchaillot, M.L.; Gracia-Romero, A.; Vergara Diaz, O.; Zaman-Allah, M.; Amsal Tesfaye Tarekegne; Cairns, J.E.; Prasanna, B.M.; Araus, J.L.; Kefauver, S.C. 19 (8) DOI: 10.3390/s19081815 MDPI.