Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques

Warm-season legumes have been receiving increased attention as forage resources in the southern United States and other countries. However, the near infrared spectroscopy (NIRS) technique has not been widely explored for predicting the forage quality of many of these legumes. The objective of this r...

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Detalles Bibliográficos
Autores principales: Baath, Gurjinder S., Baath, Harpinder K., Gowda, Prasanna H., Thomas, Johnson P., Northup, Brian K., Rao, Srinivas C., Singh, Hardeep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038758/
https://www.ncbi.nlm.nih.gov/pubmed/32041224
http://dx.doi.org/10.3390/s20030867

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038758/
https://www.ncbi.nlm.nih.gov/pubmed/32041224
http://dx.doi.org/10.3390/s20030867

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