Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques

Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques

Maize is the most cultivated cereal in Africa in terms of land area and production, but low soil nitrogen availability often constrains yields. Developing new maize varieties with high and reliable yields using traditional crop breeding techniques in field conditions can be slow and costly. Remote s...

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Bibliographic Details
Main Authors: Ma. Luisa Buchaillot, Adrian Gracia-Romero, Omar Vergara-Diaz, Mainassara A. Zaman-Allah, Amsal Tarekegne, Jill E. Cairns, Boddupalli M. Prasanna, Jose Luis Araus, Shawn C. Kefauver
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
maize
nitrogen
phenotyping
remote sensing
Africa
RGB
UAV
CIELab
Online Access:https://www.mdpi.com/1424-8220/19/8/1815

Internet

https://www.mdpi.com/1424-8220/19/8/1815

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