Abstract
Unmanned systems (drones) have been widely used for both military and civilian purposes for many years. Knowing the capabilities of the different systems allows for the right selection in preparation for a specific task, and each task requires the correct selection of the flight system, scientific and navigation equipment. The application of these systems has grown enormously in various fields such as: leisure, information and media, monitoring and inspection (electrical, pipelines, industrial installations), geological sciences (agriculture, environment) and civil safety (search and rescue), police operations, crowd control, and more).The report describes the analysis and assessment of the feasibility of an effective model of autonomous flying systems for monitoring agricultural and industrial sites. It demonstrates the usefulness of multi-rotor unmanned systems not only in popular and advertised applications of unmanned aerial vehicles in the media, but also in agriculture. The report shows an approach for automatically adapting the system to the conditions for collecting the necessary high quality data. A model has selected that uses unmanned quad-copter, hardware platform Pixhawk and ArduPilot, designed for non-commercial videos and photos of arable land.
Highlights
The development of innovation in any industry has a very positive effect on the innovation of the national economy. [1]
Most manufacturers use software developed and implemented only with two types of apparatus, with the support of most sensors is limited, which gives a great advantage of the apparatus working with open source as ArduPilot example
The article demonstrates the usefulness of multi-rotor unmanned systems, in popular and advertised applications of drones in the media, and in agriculture
Summary
The development of innovation in any industry has a very positive effect on the innovation of the national economy. [1]. In the flight of the drone over objects can make images and extract useful information from them. Drone objectively offers a number of advantages over other already known methods for monitoring crops [18]: 1.
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