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Related papers: 3D Plant Root Skeleton Detection and Extraction

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Accurate reconstruction of plant phenotypes plays a key role in optimising sustainable farming practices in the field of Precision Agriculture (PA). Currently, optical sensor-based approaches dominate the field, but the need for…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Kewei Hu , Ying Wei , Yaoqiang Pan , Hanwen Kang , Chao Chen

The quantitative analysis of 3D confocal microscopy images of the shoot apical meristem helps understanding the growth process of some plants. Cell segmentation in these images is crucial for computational plant analysis and many automated…

Computer Vision and Pattern Recognition · Computer Science 2017-10-30 Thiago V. Spina , Johannes Stegmaier , Alexandre X. Falcão , Elliot Meyerowitz , Alexandre Cunha

Modeling the 3D structures of cells and tissues is crucial in biology. Sequential cross-sectional images from electron microscopy provide high-resolution intracellular structure information. The segmentation of complex cell structures…

Quantitative Methods · Quantitative Biology 2025-02-14 Jin Kousaka , Atsuko H. Iwane , Yuichi Togashi

By-tree information gathering is an essential task in precision agriculture achieved by ground mobile sensors, but it can be time- and labor-intensive. In this paper we present an algorithmic framework to perform real-time and on-the-go…

Accurately phenotyping plant wilting is important for understanding responses to environmental stress. Analysis of the shape of plants can potentially be used to accurately quantify the degree of wilting. Plant shape analysis can be…

Computer Vision and Pattern Recognition · Computer Science 2020-01-27 Changye Yang , Sriram Baireddy , Yuhao Chen , Enyu Cai , Denise Caldwell , Valérian Méline , Anjali S. Iyer-Pascuzzi , Edward J. Delp

The pattern analysis of tree structure holds significant scientific value for genetic breeding and forestry management. The current trunk and branch extraction technologies are mainly LiDAR-based or UAV-based. The former approaches obtain…

Computer Vision and Pattern Recognition · Computer Science 2025-05-06 Chenyang Fan , Xujie Zhu , Taige Luo , Sheng Xu , Zhulin Chen , Hongxin Yang

Accurate estimation of plant skeletal structures (e.g., branching structures) from images is essential for smart agriculture and plant science. Unlike human skeletons with fixed topology, plant skeleton estimation presents a unique…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Xinpeng Liu , Hiroaki Santo , Yosuke Toda , Fumio Okura

We consider the problem of extracting curve skeletons of three-dimensional, elongated objects given a noisy surface, which has applications in agricultural contexts such as extracting the branching structure of plants. We describe an…

Computer Vision and Pattern Recognition · Computer Science 2018-03-20 Amy Tabb , Henry Medeiros

An efficient advanced numerical model for mapping the distribution of the buried tree roots is presented. It not only simplify the complicate root branches to an easy manipulated model, but also grasp the main structure of tree roots…

Geophysics · Physics 2025-01-16 Xiaolong Liang , Xiaoping Wu

We present feature finding and tracking algorithms in 3D in living cells, and demonstrate their utility to measure metrics important in cell biological processes. We developed a computational imaging hybrid approach that combines automated…

Biological Physics · Physics 2015-04-06 Kemp Plumb , Sarah Elaz , Vincent Pelletier , Maria L. Kilfoil

Accurate tree segmentation is a key step in extracting individual tree metrics from forest laser scans, and is essential to understanding ecosystem functions in carbon cycling and beyond. Over the past decade, tree segmentation algorithms…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Yihang She , Andrew Blake , David Coomes , Srinivasan Keshav

To date, very few biomedical signals have transitioned from research applications to clinical applications. This is largely due to the lack of trust in the diagnostic ability of non-stationary signals. To reach the level of clinical…

Machine Learning · Computer Science 2023-09-26 Rui Gong , Kazunori Hase

Dormant pruning for fresh market fruit trees is a relatively unexplored application of agricultural robotics for which few end-to-end systems exist. One of the biggest challenges in creating an autonomous pruning system is the need to…

Robotics · Computer Science 2021-03-05 Alexander You , Cindy Grimm , Abhisesh Silwal , Joseph R. Davidson

Selective weeding is one of the key challenges in the field of agriculture robotics. To accomplish this task, a farm robot should be able to accurately detect plants and to distinguish them between crop and weeds. Most of the promising…

Computer Vision and Pattern Recognition · Computer Science 2017-12-19 Maurilio Di Cicco , Ciro Potena , Giorgio Grisetti , Alberto Pretto

We present an open-source, low-cost photogrammetry system for 3D plant modeling and phenotyping. The system uses a structure-from-motion approach to reconstruct 3D representations of the plants via point clouds. Using wheat as an example,…

Computer Vision and Pattern Recognition · Computer Science 2025-04-24 Joe Hrzich , Michael A. Beck , Christopher P. Bidinosti , Christopher J. Henry , Kalhari Manawasinghe , Karen Tanino

Individual tree detection and crown delineation (ITDD) are critical in forest inventory management and remote sensing based forest surveys are largely carried out through satellite images. However, most of these surveys only use 2D spectral…

Computer Vision and Pattern Recognition · Computer Science 2021-07-02 Changlin Xiao , Rongjun Qin , Xiao Xie , Xu Huang

Applying agrochemicals is the default procedure for conventional weed control in crop production, but has negative impacts on the environment. Robots have the potential to treat every plant in the field individually and thus can reduce the…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Philipp Lottes , Jens Behley , Nived Chebrolu , Andres Milioto , Cyrill Stachniss

Understanding the evolutionary relationship among species is of fundamental importance to the biological sciences. The location of the root in any phylogenetic tree is critical as it gives an order to evolutionary events. None of the…

Populations and Evolution · Quantitative Biology 2016-11-15 Benjamin D Kaehler

Global warming, loss of biodiversity, and air pollution are among the most significant problems facing Earth. One of the primary challenges in addressing these issues is the lack of monitoring forests to protect them. To tackle this…

Computer Vision and Pattern Recognition · Computer Science 2025-07-03 Ozan Durgut , Beril Kallfelz-Sirmacek , Cem Unsalan

This paper discusses current methods and trends for 3D bounding box detection in volumetric medical image data. For this purpose, an overview of relevant papers from recent years is given. 2D and 3D implementations are discussed and…

Image and Video Processing · Electrical Eng. & Systems 2021-05-18 Daria Kern , Andre Mastmeyer