Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects

Experimental data manipulations to assess performance of hyperspectral classification models of crop seeds and other objects

Abstract Background Optical sensing solutions are being developed and adopted to classify a wide range of biological objects, including crop seeds. Performance assessment of optical classification models remains both a priority and a challenge. Methods As training data, we acquired hyperspectral ima...

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Bibliographic Details
Main Authors: Christian Nansen, Mohammad S. Imtiaz, Mohsen B. Mesgaran, Hyoseok Lee
Format: Article
Language:English
Published: BMC 2022-06-01
Series:Plant Methods
Subjects:
Classification performance
Machine vision
Proximal sensing
Classification models
Seed analysis
Optical sensing
Online Access:https://doi.org/10.1186/s13007-022-00912-z

Internet

https://doi.org/10.1186/s13007-022-00912-z

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