DroneDash Technologies and GEODNET have formed a Singapore-based joint venture, GEODASH Aerosystems Pte. Ltd., to develop and commercialize a heavy-lift agricultural spraying drone that removes the pre-mapping requirement from large-scale plantation operations.

Commercial deployment is targeted for Q3 2026 across oil palm and sugarcane operations in Southeast Asia, with U.S. and South American broad-acre markets to follow.

The pre-mapping problem is well understood by anyone who has deployed UAVs in precision agriculture at scale. Before each spraying mission, operators must survey the field, generate a static flight plan, and repeat the process whenever terrain shifts, canopy profiles change, or replanting occurs. In large plantation environments — the kind GEODASH Aerosystems is targeting — that overhead directly limits deployable area and response speed. It is an operational constraint, not a hardware one.

GEODASH Aerosystems addresses it through a combination of DroneDash’s AI Vision system and GEODNET’s RTK correction network. The AI Vision layer performs real-time perception of plantation structure, canopy height, and terrain features during flight. GEODNET provides centimeter-level positional accuracy throughout each mission from its network of more than 20,000 active reference stations spanning over 140 countries. Together, they allow the aircraft to navigate, adapt spray rates, and maintain positional accuracy dynamically — without a prior survey step.

GEODNET founder Mike Horton, who serves as co-founder of GEODASH Aerosystems, has long argued that decentralized RTK infrastructure unlocks a class of autonomous operation that centralized correction services cannot economically support at agricultural scale. The joint venture is a direct application of that thesis: centimeter-accurate positioning delivered through community-operated reference stations, enabling map-free autonomy on a platform designed for industrial deployment volumes.

Each mission also feeds DroneDash’s AI Smart Farming backend, generating canopy density analysis, crop stress detection, spray effectiveness validation, and terrain profiling from operational flights. The spraying drone functions as a continuous data collection platform between deployments — agronomic intelligence as a byproduct of the operation rather than a separate survey workflow.

The GDA80-120 heavy-lift platform is the initial hardware offering. Pilot deployments have been conducted with plantation operators through 2025 and into early 2026. Manufacturing readiness and regulatory approvals are underway ahead of the Q3 2026 launch.