Non-destructive prediction of protein contents of soybean seeds using near-infrared hyperspectral imaging
Protein content is one of the most crucial factors in soybean quality. However, the breeding procedure necessitates the time-consuming and costly selection of elite genotypes from many experimental lines in a destructive manner. The present work aims to predict protein content in single soybean seed...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2022
|
| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/282850/1/56_Non%20destructive%20prediction.pdf |