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Characterization of resistance and tolerance to virus infection in sweet potato using Machine Learning and temporal remote sensing data

International Potato Center Dataverse OAI Archive

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Title Characterization of resistance and tolerance to virus infection in sweet potato using Machine Learning and temporal remote sensing data
 
Identifier https://doi.org/10.21223/ZCIWUL
 
Creator Loayza, Hildo
Silva, Luis
 
Publisher International Potato Center
 
Description Temporal assessments of reflectivity (red, blue, green, and red-edge length waves) and sweet potato canopy thermal emissions were done using a multi-spectral and thermal camera attached to an unmanned aerial vehicle. This is an open source algorithm to associate temporal indexes based on measured traits (remote sensing) to susceptible, tolerant, and resistant genotypes of sweet potato virus.
 
Subject Agricultural Sciences
Computer and Information Science
Sweet Potatoes
Virus detection
Machine Learning
Multispectral Images
Python
Open Source
Google Colab
Tools for Remote Sensing
 
Language English
 
Contributor Admin, Dataverse
International Potato Center
CGIAR Research Program on Roots, Tubers and Bananas (RTB)
Plant Health Initiative