Prediction of biomass production and nutrient uptake in land application using partial least squares regression analysis

Water (Switzerland)

Volumn 7, Issue 1, 2015, Pages

  Tzanakakis, Vasileios A ^a   Mauromoustakos, Andy ^b   Angelakis, Andreas N ^c  

^a Regional Health and Welfare System of Crete   (Greece)

^b UNIVERSITY OF ARKANSAS   (United States)

^c INSTITUTE OF TECHNOLOGY OF AGRICULTURAL PRODUCTS   (Greece)

Author keywords

Biomass production; JMP; Land application; Land treatment systems; Nutrient uptake; Partial least squares regression (PLSR)

Indexed keywords

BIOMASS; EFFLUENTS; LEAST SQUARES APPROXIMATIONS; LOADING; NUTRIENTS; PHOSPHORUS;

BIOMASS PRODUCTIONS; JMP; LAND APPLICATIONS; LAND TREATMENT SYSTEMS; NUTRIENT UPTAKE; PARTIAL LEAST SQUARE REGRESSION; PARTIAL LEAST SQUARES REGRESSION MODELS; PLANT SPECIES; PREDICTOR VARIABLES;

REGRESSION ANALYSIS;

AGRONOMY; COST-BENEFIT ANALYSIS; DATA SET; EFFLUENT; ENVIRONMENTAL IMPACT; NUTRIENT UPTAKE; PHYSICOCHEMICAL PROPERTY; PHYTOMASS; PREDICTION; REGRESSION ANALYSIS; WASTE TREATMENT; YIELD RESPONSE;

ACACIA SALIGNA; ARUNDO DONAX; EUCALYPTUS CAMALDULENSIS; POPULUS NIGRA;

EID: 84920876003     PISSN: None     EISSN: 20734441     Source Type: Journal    
DOI: 10.3390/w7010001     Document Type: Article

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