ArticleFrontiers in plant science2018
Plant Phenotyping Research Trends, a Science Mapping Approach.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
48 citing papers in PubMed.
- Advancements in 3D Reconstruction for Plant Phenotyping: Technologies, Applications, Challenges, and Future Directions.Sensors (Basel, Switzerland) · 2026Review
- Digitalised phenotyping of pepper (Capsicum spp.) using effective RGB imaging and optimised camera positioning.Scientific reports · 2026Article
- Integrating image-based phenotyping and QTL mapping to enhance genetic resistance and accelerate breeding for bacterial grain rot resistance in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Tomato Multi-Angle Multi-Pose Dataset for Fine-Grained Phenotyping.Scientific data · 2026Article
- A survey on 3D reconstruction techniques in plant phenotyping: From classical methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and beyond.Plant phenomics (Washington, D.C.) · 2025Review
- Phenotype microarray-based assessment of metabolic variability in plant protoplasts.Plant methods · 2025Article
- Automated dynamic phenotyping of whole oilseed rape (Frontiers in plant science · 2025Article
- Development of an Automated Low-Cost Multispectral Imaging System to Quantify Canopy Size and Pigmentation.Sensors (Basel, Switzerland) · 2024Article
- Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping.Sensors (Basel, Switzerland) · 2024Article
- Development of a deep-learning phenotyping tool for analyzing image-based strawberry phenotypes.Frontiers in plant science · 2024Article
- Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping.Frontiers in plant science · 2024Review
- Monitoring of a Productive Blue-Green Roof Using Low-Cost Sensors.Sensors (Basel, Switzerland) · 2023Article
- Article
- A Point-Cloud Segmentation Network Based on SqueezeNet and Time Series for Plants.Journal of imaging · 2023Article
- Review
- Testing a Method Based on an Improved UNet and Skeleton Thinning Algorithm to Obtain Branch Phenotypes of Tall and Valuable Trees UsingPlants (Basel, Switzerland) · 2023Article
- Image-based phenotyping to estimate anthocyanin concentrations in lettuce.Frontiers in plant science · 2023Article
- Automated extraction of pod phenotype data from micro-computed tomography.Frontiers in plant science · 2023Article
- BAF-Net: Bidirectional attention fusion networkFrontiers in plant science · 2023Article
- Local refinement mechanism for improved plant leaf segmentation in cluttered backgrounds.Frontiers in plant science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern plant phenotyping, often using non-invasive technologies and digital technologies, is an emerging science and provides essential information on how genetics, epigenetics, environmental pressures, and crop management (farming) can guide selection toward productive plants suitable for their environment. Thus, phenotyping is at the forefront of future plant breeding. Bibliometric science mapping is a quantitative method that analyzes scientific publications throughout the terms present in their title, abstract, and keywords. The aim of this mapping exercise is to observe trends and identify research opportunities. This allows us to analyze the evolution of phenotyping research and to predict emerging topics of this discipline. A total of 1,827 scientific publications fitted our search method over the last 20 years. During the period 1997-2006, the total number of publications was only around 6.1%. The number of publications increased more steeply after 2010, boosted by the overcoming of technological bias and by a set of key developments at hard and software level (image analysis and data storage management, automation and robotics). Cluster analysis evidenced three main groups linked to genetics, physiology, and imaging. Mainly the model plant "
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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.