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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Detalles Bibliográficos
Autores principales: Aykas, Didem Peren, Ball, Christopher, Sia, Amanda, Zhu, Kuanrong, Shotts, Mei-Ling, Schmenk, Anna, Rodriguez-Saona, Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662469/
https://www.ncbi.nlm.nih.gov/pubmed/33158206
http://dx.doi.org/10.3390/s20216283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662469/
https://www.ncbi.nlm.nih.gov/pubmed/33158206
http://dx.doi.org/10.3390/s20216283

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