Drone Operated Bidirectional Wireless Charging System for Energy Constrained Devices in Smart Farming Applications

Abstract

The new age of technology has revolutionized the way the agriculture sector functions. Smart machines are gradually captivating primitive farming techniques and aid in increasing the quality and yield of crops. The implementation of Energy Constrained Devices (ECDs) into the agricultural sector has grabbed the curiosity of many researchers and has opened up opportunities for autonomous monitoring of soil-crop’s health. This research benefits the agricultural sector in providing top quality yield at minimal human resources and uses smart machinery, such as drones to monitor the progress on the field. This study aids in implementing the use of ECDs for collecting field data, such as moisture content, temperature, mineral requirements, etc. at a given area. The key challenge in this research is to identify the ECDs that needs to be charged and to find the shortest path between the home position and the ECDs for the drone to fly and charge the required ECDs. The proposed algorithm modifies the Dijkstra’s algorithm and prioritizes the ECDs in the order to be charged and plan a path accordingly.