ABSTRACT
Precision agriculture (PA) relies on actionable information obtained from sensors and data analysis software in order to achieve efficiency in farm practices. Traditional Remote sensing (RS) technologies based on satellite and aircraft platforms are continuously improving in terms of spatial and temporal resolution, thus enhancing their suitability for PA applications. The term "unmanned aerial system" (UAS) is also very common in the aviation industry to refer not only to the unmanned aerial vehicles (UAV) hardware but the sensor payload, data processing units, and ground station equipment. One of the main advantages of deploying UASs in farm environments is their capability to perform autonomous flights without being actively controlled by a ground-based operator. The ability of sensors to measure the reflected energy coming from land and water allows us to use remote sensing to quantify features and changes on the Earth's surface.
