The eCognition Oil Palm Application is a pre-built (a collection of algorithms and semantic logic) designed specifically for the automatic detection and segmentation of oil palm trees from Very High Resolution (VHR) satellite imagery (e.g., WorldView-3, Pleiades, or GeoEye).

In the rapidly evolving world of precision agriculture, remote sensing and object-based image analysis (OBIA) have become indispensable tools. For the oil palm industry—a sector plagued by challenges ranging from illegal deforestation to yield estimation errors—the need for automated, accurate analysis of satellite and drone imagery is critical.

| Error Message | Cause | Solution | | :--- | :--- | :--- | | "Missing License Feature 555" | The Oil Palm module requires a specific feature code. | Contact Trimble support to add FEATURE OILPALM to your license file. | | "Rule-set references undefined class 'Palm_Shadow'" | You downloaded the application but not the accompanying sample project. | Re-download the full ZIP package; the .dcpr file needs a companion .dca (project assets) folder. | | "Out of memory during segmentation" | The imagery tile is too large for your RAM. | Use the "Tile Processing" algorithm within the application to break the image into 2,000 x 2,000 pixel chunks. | | Download fails at 90% | Network timeout from Trimble’s CDN. | Use a download manager (e.g., Free Download Manager) or request a direct HTTP link from support. |

: Uses object-based image analysis and leaf structure recognition to identify individual trees.