Testing Automated Complex for Assessing Agrotechnical Parameters of Agricultural Crops Based on Photographs Taken by an Unmanned Aerial Vehicle (UAV) in a Mock-Up of a Real Field

The work is devoted to approbation of methods for assessing agrotechnical parameters of agricultural crops from UAV photos using neural networks on the developed laboratory bench with a real field layout. The laboratory bench is used to determine the number of corn mock-ups, weeds and the degree of weediness of a field plot based on YOLOv5 and YOLOv8 architectures. This laboratory bench allows to conduct research under controlled conditions and improve the efficiency of the complex.