Determination of viability and vigor of naturally-aged rice seeds using hyperspectral imaging with machine learning
Author:
Publisher
Elsevier BV
Subject
Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference31 articles.
1. Varietal classification of rice seeds using RGB and hyperspectral images;Fabiyi;IEEE Access,2020
2. Hyperspectral imaging technology combined with multivariate data analysis to identify heat-damaged rice seeds;Zhang;Spectrosc. Lett.,2020
3. Research on detection technology of rice seed vigor based on hyperspectral;Xu;Seed,2016
4. Rapid vitality estimation and prediction of corn seeds based on spectra and images using deep learning and hyperspectral imaging techniques;Pang;IEEE Access,2020
5. Viability prediction of Ricinus cummunis L. seeds using multispectral imaging;Olesen;Sensors,2015
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