: Transitioned from version 1.3's rule-based template matching to a more accurate deep learning approach. Crown Size Analysis : Automatically categorizes detected trees into large, medium, and small crown sizes. Health (Anomaly) Analysis
Identifies empty planting points (missing trees) with high precision, essential for replanting strategies.
If you are currently using version 1.x, here is why you need to upgrade to 2.0 immediately:
The "2.0" version marked a significant shift toward technology, improving the accuracy of palm detection, particularly for small-to-medium-sized trees, and reducing the requirement for intensive manual editing. Core Features and Advancements in Version 2.0 download ecognition oil palm application 2.0
The eCognition Oil Palm Application 2.0 is a powerful tool for oil palm growers and plantation managers to optimize their operations, reduce environmental impact, and improve crop yields. With its robust features, benefits, and support resources, this application has the potential to transform the oil palm industry. If you're interested in learning more or downloading the application, please visit the Trimble website or contact their support team for more information.
: Includes a manual editing toolkit to add, remove, or reclassify trees if needed. 3. Download & Installation Guide
The Oil Palm Application runs on top of the core eCognition platform. You will need to have either or eCognition Architect installed. Here’s how to get it: : Transitioned from version 1
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Enhanced ability to detect trees in different growth stages, from young palms to mature, dense canopy stands.
Ensure you have Trimble eCognition Developer installed. The application is a rule-set plugin, not a standalone software. If you are currently using version 1
Follow these steps to download the eCognition Oil Palm Application 2.0 package.
The eCognition Oil Palm Application 2.0 is a specialized software extension built on top of Trimble’s robust eCognition Developer engine. While standard remote sensing software relies on pixel-based analysis, eCognition groups pixels into meaningful vector objects based on shape, size, color, and texture.
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