DroneDash Technologies and GNSS-RTK network provider GEODNET have established a Singapore-based joint venture, GEODASH Aerosystems to develop industrial-scale agricultural spraying drones. The drones uses AI and satellite positioning to operate without manual pre-mapping of fields.

The platform combines AI vision systems with centimetre-accurate RTK positioning to navigate and adapt to terrain during flight. Traditional agricultural drones typically require operators to manually survey and map fields to create static flight plans before deployment. The GEODASH system is designed to interpret plantation structures, canopy heights, and terrain features in real time, allowing for immediate deployment and adjustment of spray rates.

The drones are integrated with a backend analytics system that collects data during operational flights. This data is used to analyse canopy density, detect crop stress, and score zone-level health. The system is intended to provide decision support for plantation managers regarding pest control, nutrient stress, and fertilisation planning.

“Agriculture does not need bigger drones — it needs smarter ones,” said Paul Yam, CEO of DroneDash Technologies and GEODASH Aerosystems. Yam stated that by removing manual pre-mapping, the company aims to turn spraying drones into tools that both execute operations and inform agronomic decisions.

The joint venture is targeting industrial markets including oil palm plantations in Southeast Asia and large-scale row-crop operations in North and South America. Pilot deployments were conducted in 2025, with full commercial availability scheduled for the third quarter of 2026, pending regulatory approvals.