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Texture classification is a problem that has several applications, such as remote detection and recognition of forest species. Solutions tend to be customized for the dataset used, but are not generalized. Machine learning algorithms play an important role in the current Texture Classification. However, these algorithms are suffering with low accuracy and classification rate. Deep learning is another sophisticated technique to solve these challenges because texture classification performance isdoi:10.30534/ijeter/2020/148872020 fatcat:7szrrlcd7be77fnbntsvezoodm