Generally, resources are transported through manned transportation in a distant war zones. The manual transportation of the resources involve various constrains such as time consuming, risk, cost. Efficient management of these limited resources is one of the primary desiring factors to decide the fate of war. Compu-tationally, resource management is an non-deterministic polynomial hard (NP-hard) problem. In this work, several novel resources management algorithms are designed for defence systems by utilization the intelligence of UAV and Jaccard coefficient and Overlap coefficient mathematical support. The intelligent use of Unmanned Aerial Vehicles (UAVs) facilitate resources management in faster, less risky and efficient manner. The proposed UAV assisted resource management algorithms are analyzed and validated over various synthetic simulated war going situations data sets. The proposed algorithms show significant performance in the total service time, utilization of deployed UAVs and number of flights.