Figure 4 Comparison of RQD: (a) sample pictures (b) crack detection using the application Table 1 Comparison of RQD and RMR values RQD( ) Rating on RMR RQD( ) Rating on RMR App Real App Real App Real App Real Sample 1 78 98 17 20 Sample 3 18 0 3 3 74 90 14 20 43 54 8 14 55 87 14 17 40 63 8 14 50 53 14 14 82 93 17 20 77 77 17 17 45 57 8 14 Sample2 61 92 14 20 Sample 4 90 93 20 20 32 64 8 14 86 100 17 20 106 82 20 17 88 96 17 20 64 92 14 20 51 61 14 14 96 97 20 20 72 95 14 20 4. CONCLUSION In this study, a novel, web-based application was developed to automate lithological classification and rock quality designation (RQD) based on hyperspectral imaging and RGB imagery of borehole
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