ArticleSensors (Basel, Switzerland)2014
Automated analysis of barley organs using 3D laser scanning: an approach for high throughput phenotyping.
Article in Sensors (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 93 citations in OpenAlex.
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- A 3D printed plant model for accurate and reliable 3D plant phenotyping.GigaScience · 2024Article
- How to make sense of 3D representations for plant phenotyping: a compendium of processing and analysis techniques.Plant methods · 2023Review
- A Synthetic Review of Various Dimensions of Non-Destructive Plant Stress Phenotyping.Plants (Basel, Switzerland) · 2023Review
- Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks.Plant methods · 2023Article
- High-throughput field crop phenotyping: current status and challenges.Breeding science · 2022Article
- Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods.Plant methods · 2022Article
- Digital plant pathology: a foundation and guide to modern agriculture.Journal of plant diseases and protection : scientific journal of the German Phytomedical Society (DPG) · 2022Article
- Changes in peanut canopy structure and photosynthetic characteristics induced by an arbuscular mycorrhizal fungus in a nutrient-poor environment.Scientific reports · 2021Article
- Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis.PloS one · 2021Article
- ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods.Plant methods · 2020Article
- Image Phenotyping of Spring Barley (Frontiers in plant science · 2020Article
- Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System.Sensors (Basel, Switzerland) · 2019Article
- High-throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare).The Plant journal : for cell and molecular biology · 2019Article
- 3-D Image-Driven Morphological Crop Analysis: A Novel Method for Detection of Sunflower Broomrape Initial Subsoil Parasitism.Sensors (Basel, Switzerland) · 2019Article
- Calculation Method for Phenotypic Traits Based on the 3D Reconstruction of Maize Canopies.Sensors (Basel, Switzerland) · 2019Article
- Three-Dimensional Monitoring of Plant Structural Parameters and Chlorophyll Distribution.Sensors (Basel, Switzerland) · 2019Article
- Field-Based High-Throughput Phenotyping for Maize Plant Using 3D LiDAR Point Cloud Generated With a "Phenomobile".Frontiers in plant science · 2019Article
- Measuring crops in 3D: using geometry for plant phenotyping.Plant methods · 2019Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Due to the rise of laser scanning the 3D geometry of plant architecture is easy to acquire. Nevertheless, an automated interpretation and, finally, the segmentation into functional groups are still difficult to achieve. Two barley plants were scanned in a time course, and the organs were separated by applying a histogram-based classification algorithm. The leaf organs were represented by meshing algorithms, while the stem organs were parameterized by a least-squares cylinder approximation. We introduced surface feature histograms with an accuracy of 96% for the separation of the barley organs, leaf and stem. This enables growth monitoring in a time course for barley plants. Its reliability was demonstrated by a comparison with manually fitted parameters with a correlation R(2) = 0:99 for the leaf area and R(2) = 0:98 for the cumulated stem height. A proof of concept has been given for its applicability for the detection of water stress in barley, where the extension growth of an irrigated and a non-irrigated plant has been monitored.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.