Water | |
Prediction of Biomass Production and Nutrient Uptake in Land Application Using Partial Least Squares Regression Analysis | |
Vasileios A. Tzanakakis2  Andy Mauromoustakos1  Andreas N. Angelakis3  | |
[1] Agricultural Statistics Lab, University of Arkansas, Fayetteville, AR 72701, USA; E-Mail:;Region of Crete, Directorate of Agricultural Economy, Iraklion 71201, Greece;National Agricultural Research Foundation (N.AG.RE.F.), Institute of Iraklion, Iraklion 71307, Hellas; E-Mail: | |
关键词: land application; land treatment systems; biomass production; nutrient uptake; partial least squares regression (PLSR); JMP; | |
DOI : 10.3390/w7010001 | |
来源: mdpi | |
【 摘 要 】
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, including biomass production and nutrient recovery (
【 授权许可】
CC BY
© 2014 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202003190018226ZK.pdf | 261KB | download |