Field Robot for High-throughput and High-resolution 3D Plant Phenotyping
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Abstract (arXiv)
With the need to feed a growing world population, the efficiency of crop production is of paramount importance. To support breeding and field management, various characteristics of the plant phenotype need to be measured -- a time-consuming process when performed manually. We present a robotic platform equipped with multiple laser and camera sensors for high-throughput, high-resolution in-field plant scanning. We create digital twins of the plants through 3D reconstruction. This allows the estimation of phenotypic traits such as leaf area, leaf angle, and plant height. We validate our system on a real field, where we reconstruct accurate point clouds and meshes of sugar beet, soybean, and maize.
Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). First posted on arXiv 17 Oct 2023.
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Citing papers per year: 2024: 1; 2025: 5; 2026: 1.
7 papers.
- 2025Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splattingcited by 13
- 2024PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphonecited by 6
- 2025A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyondcited by 6
- 2025GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splatscited by 5
- 2025Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splatscited by 1
- 2025Iterative Motion Compensation for Canonical 3D Reconstruction from UAV Plant Images Captured in Windy Conditionscited by 0
- 2026Recent Advances in Agentic Agri-Robotic Phenotyping: A Perspective Review from Fragmented Multimodal Sensing to Unified PhenoAgent Intelligencecited by 0
- 2026Recent Advances in Agentic Agri-Robotic Phenotyping: A Perspective Review from Fragmented Multimodal Sensing to Unified PhenoAgent Intelligence28 Sep 2026
- 2025Botany-Bot: Digital Twin Monitoring of Occluded and Underleaf Plant Structures with Gaussian Splats20 Oct 2025
- 2025Iterative Motion Compensation for Canonical 3D Reconstruction from UAV Plant Images Captured in Windy Conditions17 Oct 2025
- 2025GrowSplat: Constructing Temporal Digital Twins of Plants with Gaussian Splats16 May 2025
- 2025A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond30 Apr 2025
- 2025Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting9 Apr 2025
- 2024PanicleNeRF: low-cost, high-precision in-field phenotypingof rice panicles with smartphone4 Aug 2024