Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach
Authors:
- Te MaTMTe Ma
- Satoru TsuchikawaSTSatoru Tsuchikawa
- Tetsuya InagakiTITetsuya Inagaki
- 1 October 2020
- journal article
- research article
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 177
Abstract
No abstract availableKeywords
Funding Information
- Japan Society for the Promotion of Science
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