![]() Address information is included in the deliverables for use in GIS and spreadsheets. The tree address accounts for ghost tree locations and the addressing tools support various row orientations and tree distributions. Functionality has been extended to include the automatic generation of tree addresses – comprising the block name, row and tree number. ![]() The Application fully supports the analysis with or without a DSM. In addition, the approach reduces processing times and simplifies manual quality control actions.įurthermore, this new detection approach no longer requires the input or calculation of a digital terrain model (DTM) by Application users. A deep learning AI-driven tree detection approach has been implemented to improve the overall automated detection accuracy across palm ages – young to mature.With immediate access to automated oil palm detection and oil palm tree analysis tasks, the software puts a powerful, yet simple, guided workflow right into the hands of a production-oriented user. The Trimble eCognition Oil Palm Application 2.0 offers an easy-to-use, intuitive graphical user interface for anyone utilizing UAS data in the context of oil palm plantation analyses. The long awaited moment for our eCognition Oil Palm Application customer’s is here! We released version 2.0 earlier this week and it is full of new functionality, improved detection accuracy and a great modern UI.
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