Prediction of Biomass Production and Nutrient Uptake in Land Application Using Partial Least Squares Regression Analysis

Prediction of Biomass Production and Nutrient Uptake in Land Application Using Partial Least Squares Regression Analysis

Partial Least Squares Regression (PLSR) can integrate a great number of variables and overcome collinearity problems, a fact that makes it suitable for intensive agronomical practices such as land application. In the present study a PLSR model was developed to predict important management goals, inc...

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Bibliographic Details
Main Authors: Vasileios A. Tzanakakis, Andy Mauromoustakos, Andreas N. Angelakis
Format: Article
Language:English
Published: MDPI AG 2014-12-01
Series:Water
Subjects:
land application
land treatment systems
biomass production
nutrient uptake
partial least squares regression (PLSR)
JMP
Online Access:http://www.mdpi.com/2073-4441/7/1/1

Internet

http://www.mdpi.com/2073-4441/7/1/1

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