Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level

Retrieval of Crude Protein in Perennial Ryegrass Using Spectral Data at the Canopy Level

Crude protein estimation is an important parameter for perennial ryegrass (<i>Lolium perenne</i>) management. This study aims to establish an effective and affordable approach for a non-destructive, near-real-time crude protein retrieval based solely on top-of-canopy reflectance. The stu...

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Bibliographic Details
Main Authors: Gustavo Togeiro de Alckmin, Arko Lucieer, Gerbert Roerink, Richard Rawnsley, Idse Hoving, Lammert Kooistra
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
perennial ryegrass
hyperspectral
machine learning
crude protein
partial least squares
feature selection
Online Access:https://www.mdpi.com/2072-4292/12/18/2958

Internet

https://www.mdpi.com/2072-4292/12/18/2958

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