Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach

Published 2020 View Full Article

Authors

Keywords

Seed viability, Near-infrared hyperspectral imaging (NIR-HSI), Principal component analysis (PCA), Support vector machine (SVM), Deep learning (DL), Convolutional neural network (CNN)

Journal

COMPUTERS AND ELECTRONICS IN AGRICULTURE

Volume 177, Issue -, Pages 105683

Publisher

Elsevier BV

Online

2020-08-15

DOI

10.1016/j.compag.2020.105683

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