Use of Unmanned Aerial Vehicles of Modular Type and Artificial Intelligence in the Analysis of the State of Bast Crops

The possibilities of using artificial intelligence in the agricultural sector were investigated, in particular, the optimization of the analysis of the phases of vegetation of bast crops. The implementation of this task was most effective within the framework of a traditional mechanism for studying plants in the reference time of their life and through the integration of hardware and software complexes, including a client part consisting of an unmanned aerial vehicle (helicopter, airplane or combined type), photo-video recording modules and a transmission device significant data, as well as the server part, which includes a server in which a convolutional neural network and a database equipped for specific tasks function, in which information about the studied objects and their analyzed features is segmented, as well as the receiving device. The application of advances in science and technology, especially information technology, in the state sector of agriculture will significantly increase the effectiveness of solving strategic tasks in this area.