Forests worldwide face immense pressure from wildfires and deforestation. Traditional reforestation, while effective, is slow and labor-intensive, making it difficult to scale to the millions of hectares that need restoration. In a recent paper titled “UAV-Based Precision Seed Dropping for Automated Reforestation,” authors Qi Rui Lee, Henrik Hesse, Khuanphirom Naruangsri, Worayut Takaew, Stephen Elliot, and Dinesh Bhatia present a promising solution. Published on August 26, 2025, the research introduces an automated UAV-based system that can precisely drop seeds to accelerate large-scale reforestation efforts.

The system features a novel gravity-drop seeding mechanism mounted on a multirotor drone. The drone is programmed to autonomously fly and deploy individual seeds at precise, pre-determined locations. Unlike conventional aerial seeding, which scatters seeds randomly, this precision approach significantly reduces seed wastage, making it a more efficient and scalable solution for ecological restoration. The seeds themselves are a key innovation. They are encased in biochar-coated seed balls, which not only simplify the handling of various seed types but also improve germination success and protect them from wildlife predation.

A series of field evaluations demonstrated the system’s effectiveness and reliability in real-world conditions. Initial tests at a netted futsal court provided a controlled environment to assess the mechanical reliability and seed dispersion. The drone successfully dropped seeds with a 95% coverage circle of 0.63 meters from the target under calm conditions. Moving to a more realistic outdoor environment, the team tested the system at a site in Northern Thailand. Here, the UAV operated at an altitude of 4 meters to ensure it cleared weeds and brush while maintaining accuracy. Despite light wind and uneven terrain, the drone maintained a 95% coverage circle, with most seeds landing within 1 meter of their intended targets. This level of precision is crucial for ensuring seeds have the best chance of survival.

The final field mission took place at an active reforestation site in Thailand’s Chiang Mai province, which had been severely damaged by a fire. A 600 square-meter area was chosen, and the drone was programmed to drop 27 seeds at waypoints spaced 3 meters apart. A downward-facing LiDAR sensor was used to maintain a consistent altitude of 4 meters above the uneven terrain, ensuring accurate seed placement. The mission’s success was tracked by an onboard limit switch that confirmed each seed drop. Of the 27 planned drops, 24 were successful, achieving an impressive 90% deployment success rate. The entire mission lasted just 6.5 minutes and consumed 46% of the battery capacity, demonstrating the system’s efficiency.

This study’s findings highlight the potential for using automated, precision-seeding UAVs to revolutionize reforestation. The system’s ability to deliver seeds accurately and reliably, even in challenging terrain, overcomes significant limitations of traditional methods. It reduces the need for extensive labor and infrastructure, making it a scalable solution for large-scale restoration projects. Although the current prototype has a flight time of about 10 minutes and can carry up to 30 seeds, the modular design allows for integration with larger, more powerful UAVs for expanded missions. With its potential for multi-species hoppers, this technology could be a powerful tool for restoring biodiversity in deforested areas around the globe.

Source: Lee, Q. R., Hesse, H., Naruangsri, K., Takaew, W., Elliot, S., & Bhatia, D. (2025). UAV-Based Precision Seed Dropping for Automated Reforestation.