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The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal 25 Jun 2020Embargo end date: 03 Jul 2020Publisher:Public Library of Science (PLoS)Journal:PLOS ONE, volume 15, page e0234703 (eissn: 1932-6203,

Authors: Esther Grüner; Michael Wachendorf; Thomas Astor;

doi: 10.1371/journal.pone.0234703 , 10.17170/kobra-202007021395

pmid: 32584839

pmc: PMC7316270

The potential of UAV-borne spectral and textural information for predicting aboveground biomass and N fixation in legume-grass mixtures

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Abstract

Gefördert durch den Publikationsfonds der Universität Kassel

Related Organizations

University of Kassel
Germany
Kasetsart University
Thailand

Keywords

Science, Flugkörper, Poaceae, 630, Nitrogen Fixation, Biomasse, Biomass, Q, R, Fabaceae, Models, Theoretical, Hülsenfrüchtleranbau, Remote Sensing Technology, Stickstoffbedarf, Medicine, Algorithms, Research Article

1 Research products, page 1 of 1

UAV-based multispectral data in legume-grass mixtures
2020IsSupplementedBy

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	57
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%