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

Research article (Sensors, 2019) · cited 87× · AI/ML
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Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques

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Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-maize-genotype-performance-under-low-nitrogen-conditions-using-rgb-uav-phenotyping-techniques
MLA “Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-maize-genotype-performance-under-low-nitrogen-conditions-using-rgb-uav-phenotyping-techniques.
BibTeX @misc{4ortxyz_evaluating-maize-genotype-performance-under-low-nitrogen-conditions-using-rgb-uav-phenotyping-techniques_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating Maize Genotype Performance under Low Nitrogen Conditions Using RGB UAV Phenotyping Techniques}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-maize-genotype-performance-under-low-nitrogen-conditions-using-rgb-uav-phenotyping-techniques}, note = {Accessed: 2026-05-24}}
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