Enhancing Drone Stability in Adverse Weather Conditions: A Novel MySQL-Based Approach for Balancing UAVs in Rain

Background: Unmanned Aerial Vehicles (UAVs) can potentially transform several sectors, notably last-mile delivery. Despite its potential, their implementation in real-world situations, particularly in severe weather like rain, must be improved with route optimisation and stability issues. Objective: This study aims to provide a fresh approach to the issues that drones confront in wet weather using unique MySQL code designed to improve drone performance in such environments. Methods: A customised algorithm based on the Vehicle Routing Problem (VRP) was specially adapted for drone delivery. It considers battery life, payload weight, and estimated delivery timeframes. This algorithm aims to alter the drone's path under wet circumstances to maintain balance, preserve energy, and reduce the possibility of delivery failure. Results: Using MySQL custom code for drones may bring several advantages. It may not only increase battery life by guaranteeing appropriate routing, but it may also shorten delivery times and prevent cases of lost or damaged items due to weather. Delivery efficiency may be significantly improved. Conclusion: Incorporating bespoke MySQL code provides a viable option for addressing the inherent issues that drones confront in damp situations. This technology allows for more dependable and effective drone deliveries, even in less-than-ideal weather circumstances, by optimising routes and assuring stability.