A Curated Study on Machine Learning Based Algorithms and Sensors for Drone Technology in Various Application

Drones are used in different fields like delivery, agriculture, construction, surveillance and many more. But then also Drones are prone to be crashed. The main goal of this paper is to make a case study of different machine learning algorithms and sensors like radar sensors. This also states that these algorithms and sensors are connected to Raspberry pi that can be helpful in accessing all the algorithm and sensors together by which it can be helpful in different sectors. The case study and research tell that how by these system drone can be free from crash and easily used in different field without any problem faced and tell the advantages of machine learning algorithms like autonomous navigation, anomaly detection in the drone for different uses of the drone.