Review on the Real-time Implementation of IoT-enabled UAV in Precision Agriculture and the Overview of Collision Avoidance Strategies

Abstract

Drone-based monitoring is very convenient and effective in the modern era for monitoring large and dense areas where humans cannot monitor efficiently. Precision agriculture (PA) unmanned aerial vehicle (UAV) monitoring techniques make farmers more protective and knowledgeable about their fields. Modern PA drone employs a 5G-enabled Internet of Things (IoT) that captures field data and transmits it to the cloud with extremely low latency to make quick decisions. From anywhere, farmers can keep an eye on their farms. Also, they have a choice of manual or automated methods for executing the proper data-driven actions. Smart farming is substantially more efficient than traditional farming. This article gives an in-depth analysis of UAVs’ real-time deployment of hardware, software, sensors, and IoT in agriculture for crop monitoring, weed identification, and collision avoidance. This research also covers the wide variety of collision avoidance algorithms utilized in both outdoor and interior conditions.