A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples
2018
International Journal of Engineering Pedagogy (iJEP)
Big Data and Data Analytics have in recent times become important areas of focus in academia, in business and in society. This paper utilises experiments involving data visualisation of oil pollution studies and their effects on environment for enhanced learning in engineering education. Tracking and analysis of images and the use of accessible applications for the analysis of acquired data revealed the level of impact of the different types of oil pollution on grass vegetation. In accounting
doi:10.3991/ijep.v8i5.8142
fatcat:i6he4msp5raldmh2v6icwtzqey