multivariate image analysis
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2020 ◽  
pp. 128615
Author(s):  
Renata Regina Pereira da Conceição ◽  
Maria Lúcia Ferreira Simeone ◽  
Valéria Aparecida Vieira Queiroz ◽  
Everaldo Paulo de Medeiros ◽  
Joabson Borges de Araújo ◽  
...  

2020 ◽  
Vol 37 (8) ◽  
pp. 1399-1411
Author(s):  
Rosalba Calvini ◽  
Alice Luciano ◽  
Matteo Ottoboni ◽  
Alessandro Ulrici ◽  
Marco Tretola ◽  
...  

2020 ◽  
Vol 10 (2) ◽  
pp. 533 ◽  
Author(s):  
Tiziana Amoriello ◽  
Simona Fiorentino ◽  
Valerio Vecchiarelli ◽  
Mauro Pagano

Biochar is generally considered as an effective soil amendment, which can improve soil organic matter and nutrients content and enhance crop productivity. In this study, biochar derived from brewers’ spent grain (BSG) was used in a pot and field experiment to assess whether its addition to soil could affect hop plant growth. The experiment was conducted in Central Italy during the period March–August 2017. Three different German cultivars of hop plant (Hallertau Magnum, Perle, Spalter spalt) were considered. Biochar was added to the pot soil at 20% level. Its effect on the roots was evaluated using multivariate image analysis (MIA) and the statistical technique of general linear models (GLM), whereas the shoots, bines length and yield using GLM. Results showed that biochar significantly improved root growth (p < 0.0001). Regarding shoots, no variability for the genotypes was observed during the vegetative period, whereas slight differences resulted before plant dormancy, especially for the Hallertau Magnum cultivar. No differences in the number of leaves or bines length were observed between the two treatments for all cultivars. The addition of biochar to the soil significantly improved yield (number of cones). These results highlighted that BSG-derived biochar can be useful to improve hop plant growth and cones production.


RSC Advances ◽  
2020 ◽  
Vol 10 (56) ◽  
pp. 33753-33761
Author(s):  
Nasser Jalili-Jahani ◽  
Azadeh Fatehi ◽  
Ehsan Zeraatkar

Multivariate image analysis as a useful tool in environmental risk assessment studies.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 38833-38845 ◽  
Author(s):  
Wenzhuo Zhang ◽  
Juan Hu ◽  
Guoxiong Zhou ◽  
Mingfang He

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