Survey on a Drone Based Insect Repellent System Using IoT and ML

This research provides a thorough summary of the cutting edge of drone-based insect repellent systems. It provides a synopsis of many studies and ideas that examine various methods of combining electronics and ultrasonic technology to keep unwanted pests at bay. Review topics include design constraints, testing procedures, and a system's ability to deter pests. It also emphasizes the need of creating generally acceptable and environmentally friendly solutions, as well as discussing the difficulties and debates related to electronic pest control equipment. The article also briefly discusses deep learning and AI's use in agricultural data analysis gleaned from drones. This article seeks to summarize the current state of insect repellent systems that use unmanned aerial vehicles. This study has proposed a novel bug detection method by using drones, Internet of Things (IoT), and machine learning. The drone's adaptability in terms of treatment area and specificity makes it a valuable tool for pest control.