Partitioning 3D point clouds using an irregular grid simplifies tree segmentation in digital forests
The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests ...
Predicting fruit tree flowering is key for harvests, but data is often scarce. A new study found combining flowering data ...
Post-modern portfolio theory uses downside risk to refine portfolio optimization. Learn how PMPT offers an alternative to modern portfolio theory for risk-adjusted returns.
Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesize chemicals in a more ...
In Norway, no buffet is complete without some salmon or trout – preferably smoked over juniper wood chips or some other ...
Take a minute before you proceed and think about if you had a million to billion dollars to help humankind, not just the poor ...
If you’d love to grow fruit trees but think you don’t have the space, think again. You don’t need an orchard or even a large backyard to enjoy garden-picked fruit. This East Bay garden has transformed ...
ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
Abstract: Individual tree segmentation from terrestrial laser scanning (TLS) point clouds is essential for precise forest inventory, instance-level tree modeling, and the estimation of forest stock ...
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