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In-Situ Screening of Soybean Quality with a Novel Handheld Near-Infrared Sensor
This study evaluates a novel handheld sensor technology coupled with pattern recognition to provide real-time screening of several soybean traits for breeders and farmers, namely protein and fat quality. We developed predictive regression models that can quantify soybean quality traits based on near...
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| Publié dans: | Sensors (Basel) |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7662469/ https://ncbi.nlm.nih.gov/pubmed/33158206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216283 |
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