4 papers
Zero-Shot 3D Plant Organ Segmentation with SAM3 and Semantic NeRFs
Andreas Gilson, Laura Hennig, Peter Pietrzyk
Accurate 3D plant organ segmentation is fundamental to automated phenotyping. Existing approaches rely on annotated training data or species-specific model configurations. We prese…
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…
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…