| Company | AdvaligModel |
| Country | Germany |
| Website | https://advaligModel.com/en/machine/ |
| Category | Silviculture (Tending) › Remote sensing & mapping |
Climbing pruner
Patas is a forestry plantation management and analysis system developed to support the planning, monitoring, and administration of plantation estates across their full growth cycle. The name is understood to derive from a Portuguese or Spanish acronym associated with plantation management software originating from timber-producing regions where large-scale eucalypt and pine plantations are common, and the system has been referenced in international forestry technology literature in the context of southern hemisphere plantation operations. Patas integrates spatial data management with stand-level inventory records, enabling users to track planting dates, stocking rates, thinning histories, fertilisation events, and yield projections at the compartment level. The system is designed to support strategic and operational decision-making by providing managers with up-to-date estate status summaries, harvest scheduling recommendations, and silvicultural intervention triggers based on growth model outputs. In the Australian plantation sector — which encompasses approximately 1.8 million hectares of softwood and hardwood estate managed by both public and private entities — systems of this type are essential for managing information across estates that span multiple geographic regions and tenure arrangements. Patas-type platforms typically interface with GIS tools, remote sensing data, and field data collection applications to maintain current and accurate estate records. Reporting functions support compliance with certification standards such as the Australian Forestry Standard (AFS) and international schemes such as the Forest Stewardship Council (FSC), which require documented evidence of sustainable management practices across the full rotation. As plantation estates increasingly adopt precision forestry approaches, systems like Patas serve as the data backbone that connects field observations, remote sensing inputs, and management decisions into a coherent operational record.
A useful tool for improving efficiency by reducing post-felling delimbing time, but its suitability is limited by setup demands, transport challenges, and only partial risk reduction despite lowering manual delimbing hazards.
| Field | Value |
|---|---|
| Company | AdvaligModel |
| Country | Germany |
| Type | Company |
| FWPA RD&E | 4.4 |