Partnerships Precision Agriculture

GEODASH Aerosystems Launches to Bring AI-Powered Spraying Drones to Industrial Farming

DroneDash Technologies & GEODNET have formed GEODASH Aerosystems, a Singapore-based JV focused on ag spraying drones for industrial farming.
Image provided by GEODASH Aerosystems.

Key Takeaways

  • DroneDash Technologies and GEODNET have formed GEODASH Aerosystems, a Singapore-based joint venture focused on agricultural spraying drones for industrial farming.
  • The platform eliminates the need for manual pre-mapping by combining real-time AI vision with centimetre-accurate RTK positioning from GEODNET's decentralized network.
  • Each drone doubles as an agronomic intelligence tool, collecting canopy, crop health, and terrain data during every spraying mission.
  • Target markets include oil palm plantations in Southeast Asia, row crops in the United States, and broad-acre estates in South America.
  • Commercial deployment is planned for Q3 2026 following pilot programs conducted throughout 2025 and early 2026.

DroneDash and GEODNET Form GEODASH Aerosystems As a JV for Precision Agriculture

DroneDash Technologies and GEODNET, operator of the world's largest decentralized GNSS-RTK network, have announced the creation of GEODASH Aerosystems Pte. Ltd., a Singapore-incorporated joint venture. The new entity is developing agricultural spraying drones specifically engineered for large-scale, industrial farming operations — a segment the companies say is underserved by current drone technology.

Eliminating the Pre-Mapping Bottleneck

Conventional agricultural drones typically require operators to manually survey and map fields before each deployment, generating static flight plans that must be recreated whenever terrain or crop conditions change. GEODASH Aerosystems' platform removes this step entirely by using DroneDash's proprietary AI vision system to perceive plantation structure, canopy height, and terrain features in real time during flight. GEODNET's RTK correction network provides centimetre-level positional accuracy throughout each mission.

The result is a drone that can deploy without pre-mapping, dynamically interpret rows and operational zones, adjust altitude and spray rates over variable terrain, and rapidly redeploy after replanting or field reconfiguration.

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