Simulated aerial seeding with unmanned aerial vehicles in reforestation technology

Abstract

This article explores the use of a DJI Agras T10 unmanned aerial vehicle (UAV) for simulated aerial seeding in a reforestation technology. The testing took place in the Murmansk Region, with a focus on the area around the city of Monchegorsk and Kolskaya MMC JSC industrial site. The reforestation technology entails identifying areas requiring reforestation measures, designing a reforestation project, and harvesting seeds of the target tree species. Then, drones with a set sowing rate and granule spreading system are used to sow the tree seeds. Finally, the germination results of the seedlings are monitored. During the technology testing, 271.4 kg of regionalized Scots pine seeds and 2 kg of spruce seeds were harvested. These seeds were then sown across nine plots, covering a total area of 150.5 hectares with varying topography and soil types. The sowing plots were monitored, and the germination rate and survival rate of the seedlings were assessed throughout the planting season. The effectiveness and suitability of using a DJI Agras T10 model UAV for monitoring the plots was evaluated, and a methodology for operating the UAV was developed. Additionally, factors influencing the final germination rate and survival of seedlings were examined.