Coverage Path Planning Optimization of Heterogeneous UAVs Group for Precision Agriculture

Precision farming is one of the ways transition to intensive methods agricultural production. The case application unmanned aerial vehicles (UAVs) for solving problems agriculture and animal husbandry among actively studied issues. UAV capable tasks monitoring, fertilizing, herbicides, etc. However, effective use requires solve flight planning, taking into account heterogeneity available attachments problem solved in process overflight. This research investigates planning a group heterogeneous UAVs applied issues coverage, which may arise both course monitoring implementation agrotechnical measures. method coverage path heterogenic based on genetic algorithm proposed; this provides by using moving ground platform are recharged refueled (multi with (mhCPPmp)). allows calculating fly task covering fields different shapes permits selecting optimal subset from set devices; it also 10% reduction cost flyby compared an that does not or platform.