Abstract. This paper presents an innovative fractal approach to the cultivation of agricultural land using unmanned aerial vehicles (UAVs). An approach to analyzing the earth’s surface using fractal analysis is considered, including the Fraunhofer diffraction fractal and Sierpinski carpet scaling. Code for Arduino is provided that allows you to collect data from sensors and send it in real time to a smartphone via Telegram. For more complex data analysis and integration with machine learning systems, the Raspberry Pi is proposed, with code for collecting data from a camera and LiDAR, as well as for recognizing crops using TensorFlow. The focus is on the ability to transmit data in real time, which allows you to quickly respond to changes and analyze large volumes of data on more powerful equipment or a server.

Key words: fractal, unmanned aerial vehicle, artificial intelligence, mathematical modeling, differential equation, agriculture.