¶ Skogforsk AUTOPLANT - Autonomous Site Preparation & Tree Planting concept
Recommended Technology
Description: AUTOPLANT is a Skogforsk‑led research programme aimed at fully autonomous forest regeneration, integrating site preparation and seedling planting into a coordinated system rather than a single machine. Developed through multi‑year collaboration between research institutes, equipment manufacturers, and forest companies, the concept addresses labour scarcity, inconsistent planting quality, and excessive soil disturbance. AUTOPLANT combines regeneration planning, autonomous navigation, low‑impact site preparation, automated seedling handling, and planting‑spot detection into a single workflow that embeds quality and environmental protection into algorithms rather than operator judgement.
Field trials demonstrated very low soil disturbance (under 3% compared with approximately 50% for conventional disc trenching) while maintaining planting precision, highlighting the strength of AUTOPLANT’s systems‑based approach. Technically, it represents a clear progression from mechanised assistance toward precision‑driven autonomy and serves as a reference architecture for later platforms such as BraSatt 01.
AUTOPLANT remains pre‑commercial (TRL 5–6), with integrated field demonstrations but no sustained commercial operation. While no official pricing exists, indicative modelling based on prototype complexity suggests a capital cost up to $3 million per machine, excluding development overheads, with operating costs expected to exceed manual planting until higher speeds, reliability, and utilisation are achieved. As such, AUTOPLANT should be viewed as a strategic cost‑learning and risk‑reduction platform, valuable for informing future commercial designs rather than a near‑term, cost‑competitive deployment solution.
Snapshot: 0
Category: Planting & Silviculture Automation
FWPA RD&E: 4.4
¶ Details
| Company | Country | Type | Website | Available in Australia? | Year | Status | Remarks | TRL | Employees | Colour | Inventors | Patent Model. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hansson et al. | Paper | Link | 2024 | 0.0 | Green |