Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality

Abstract Background The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and...

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Bibliographic Details
Main Authors: Vitor de Jesus Martins Bianchini, Gabriel Moura Mascarin, Lúcia Cristina Aparecida Santos Silva, Valter Arthur, Jens Michael Carstensen, Birte Boelt, Clíssia Barboza da Silva
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Plant Methods
Subjects:
Jatropha curcas
Non-invasive methods
Radiographic images
Artificial intelligence
Online Access:https://doi.org/10.1186/s13007-021-00709-6

Internet

https://doi.org/10.1186/s13007-021-00709-6

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