Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging

Estimation of vegetation indices for high-throughput phenotyping of wheat using aerial imaging

Abstract Background Unmanned aerial vehicles offer the opportunity for precision agriculture to efficiently monitor agricultural land. A vegetation index (VI) derived from an aerially observed multispectral image (MSI) can quantify crop health, moisture and nutrient content. However, due to the high...

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Bibliographic Details
Main Authors: Zohaib Khan, Vahid Rahimi-Eichi, Stephan Haefele, Trevor Garnett, Stanley J. Miklavcic
Format: Article
Language:English
Published: BMC 2018-03-01
Series:Plant Methods
Subjects:
Wheat
Phenotyping
Deep learning
Precision agriculture
Online Access:http://link.springer.com/article/10.1186/s13007-018-0287-6

Internet

http://link.springer.com/article/10.1186/s13007-018-0287-6

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