Chyrchenko D. System of intellectual decision support for managing the collection of energy crops for biogas plants

The dissertation is devoted to solving a scientific problem, which is to develop special methods and means of intellectual decision support system for collecting energy crops for biogas plants in conditions of a priori uncertainty about the nature, structure and actual state of energy crops in the fields. On the basis of the analysis of management tasks, it is shown that the widespread use of information technology for data processing from unmanned aerial vehicles provides higher efficiency and accuracy of obtaining the results of monitoring of the energy cropping process. The paper proposes methods for determining the volumes of energy crops according to UAV data, planning of harvesting operations and the synthesis of compromise-optimal routes for unmanned combine harvesters, taking into account the departures of areas where there is no energy culture, which minimizes fuel consumption.