Weed Detection in Smart Agriculture Application in the 5G Smart Country Project

This research paper focuses on the goals of the dashboard in 5G Smart Country project<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>, the main context of which revolves around smart farming. The project focuses mainly on the utilization of applications and robots which helps to have better results in crops, serves the environment, saves time and efforts and keeps sustainability. This paper highlights the imperative, effective agriculture applications which cover almost all necessary farming steps as they have the initiative to react according to the data which are gathered from the field. It demonstrates the advantages of employing an easy-to-use dashboard in trusting the functions of UAVs (Unmanned Aerial Vehicles), field robotics UGVs (Unmanned Ground Vehicles) and sensors which are used in the technical part of the 5G project. One of the important issues that this paper discusses is the important function of the dashboard that manages the job of the applications in an easy way for the users. One of the important issues is weed detection and management. Subsequently, the paper explains the integration of AI (artificial intelligence) in the project to detect weed, to know the fertilization necessity and production quality. The conclusion includes an assessment of the current state of research, gives insight into the 5G project and provides insight into potential avenues for future research.