Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

Estimating Wheat Grain Protein Content Using Multi-Temporal Remote Sensing Data Based on Partial Least Squares Regression

Estimating wheat grain protein content by remote sensing is important for assessing wheat quality at maturity and making grains harvest and purchase policies. However, spatial variability of soil condition, temperature, and precipitation will affect grain protein contents and these factors usually c...

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Bibliographic Details
Main Authors: Cun-jun LI, Ji-hua WANG, Qian WANG, Da-cheng WANG, Xiao-yu SONG, Yan WANG, Wen-jiang HUANG
Format: Article
Language:English
Published: Elsevier 2012-09-01
Series:Journal of Integrative Agriculture
Subjects:
grain protein content
agronomic parameters
multi-temporal
Landsat
partial least squares regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2095311912601440

Internet

http://www.sciencedirect.com/science/article/pii/S2095311912601440

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