UNCW MS Computer Science Information Systems Proceedings



Development and Comparison of Machine and Deep Learning Models


Joshua Edwards


Gulustan Dogan (Chair)
Jeffrey Cummings
Karl Ricanek
Narcisa Pricope


Abstract

The change of lush fertile and workable land into a state of desolation or unproductivity is known as land degradation. Land degradation, as a whole, is a serious problem; one which causes immeasurable damage every year. Despite the problem itself not being new the use of artificial intelligence to classify and predict land degradation is relatively new, especially compared to the problem itself. That being said numerous other researchers have done work using artificial intelligence to solve the problem of land degradation with varying results depending on the algorithm and dataset used.


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Recommended Citation: Edwards J., Dogan G., Cummings J., Ricanek K., Pricope N., (2022). Development and Comparison of Machine and Deep Learning Models. UNCW MS CSIS Proceedings. V. 16 , N. 2 .