scholarly journals Corrigendum to “Nursery Growing Media: Agronomic and Environmental Quality Assessment of Sewage Sludge-Based Compost”

2017 ◽  
Vol 2017 ◽  
pp. 1-2
Author(s):  
Barbara De Lucia ◽  
Giuseppe Cristiano ◽  
Lorenzo Vecchietti ◽  
Elvira Rea ◽  
Giovanni Russo
Keyword(s):  
Sewage Sludge ◽  
Quality Assessment ◽  
Environmental Quality ◽  
Growing Media ◽  
Environmental Quality Assessment

Biotests for environmental quality assessment of composted sewage sludge

2013 ◽  
Vol 33 (6) ◽  
pp. 1451-1460 ◽  
Author(s):  
Anu Kapanen ◽  
Minna Vikman ◽  
Johanna Rajasärkkä ◽  
Marko Virta ◽  
Merja Itävaara
Keyword(s):  
Sewage Sludge ◽  
Quality Assessment ◽  
Environmental Quality ◽  
Environmental Quality Assessment ◽  
Composted Sewage Sludge

scholarly journals Automatic environmental quality assessment for mixed-land zones using lidar and intelligent techniques

2011 ◽  
Vol 38 (6) ◽  
pp. 6805-6813 ◽  
Author(s):  
Jorge Garcia-Gutierrez ◽  
Luis Gonçalves-Seco ◽  
Jose C. Riquelme-Santos
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Environmental Quality Assessment

scholarly journals URBAN ENVIRONMENTAL QUALITY ASSESSMENT BY SHAPE AND SPECTRAL INDICES OF MULBERRY LEAVES

2019 ◽  
Vol 7 (3) ◽  
pp. 184-205
Author(s):  
Snejana Dineva ◽  
Zlatin Zlatev
Keyword(s):  
Quality Assessment ◽  
Environmental Quality ◽  
Principal Components ◽  
Latent Variables ◽  
Support Vector ◽  
Mulberry Leaves ◽  
Environmental Quality Assessment ◽  
Mulberry Leaf ◽  
Vector Machines ◽  
Potential Use

In this paper, an analysis of the potential use of the surface and geometric characteristics of mulberry leaves as parameters for environmental quality assessment is made. Methods have been used to reduce the amount of data of latent variables, linear and kernel variants of principal components. It has been found that a kernel variant of the principal components, combined with nonlinear separating functions of discriminant analysis and a method of support vector machines, are an appropriate methods for distinguishing the degree of air pollution from the mulberry leaf data. The results obtained could be used as preliminary baseline data for future evaluations and studies related to remote monitoring of urban air quality.

Sign in / Sign up

Export Citation Format

Share Document