Unlocking Agricultural Potential: Soil Structure and Analysis in a Limestone Mining Site Using Artificial Intelligence and USDA Classification

Abstract This study aimed to investigate the soil structure and agricultural potential of a research area located within limestone mining site. The sampling process was conducted using sieve analysis hydrometer tests on samples collected from six points 1-hectare area. results revealed that Silt Loam, with 48%-64% consisting Silt, 30%-50% sand, 1%-6% clay. data were then classified USDA classification identify uses soil. Additionally, artificial intelligence used through ArcGIS software prepare regional map analyze properties. findings can serve as valuable reference for agro-industry activities land-use planning in