4 papers · 1 filter
OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities
Andreas Gilson, Lukas Meyer, Oliver Scholz +1
Accurate point cloud segmentation for plant organs is crucial for 3D plant phenotyping. Existing solutions are designed problem-specific with a focus on certain plant species or sp…
FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields
Lukas Meyer, Andrei-Timotei Ardelean, Tim Weyrich +1
We introduce FruitNeRF++, a novel fruit-counting approach that combines contrastive learning with neural radiance fields to count fruits from unstructured input photographs of orch…
Cherry Yield Forecast: Harvest Prediction for Individual Sweet Cherry Trees
Andreas Gilson, Peter Pietrzyk, Chiara Paglia +6
This paper is part of a publication series from the For5G project that has the goal of creating digital twins of sweet cherry trees. At the beginning a brief overview of the reviou…
FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework
Lukas Meyer, Andreas Gilson, Ute Schmid +1
We introduce FruitNeRF, a unified novel fruit counting framework that leverages state-of-the-art view synthesis methods to count any fruit type directly in 3D. Our framework takes…