ReviewCurrent opinion in systems biology2017
Unlocking the potential of plant phenotyping data through integration and data-driven approaches.
Review in Current opinion in systems biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
44 citing papers in PubMed.
- Advances in root phenotyping: high-throughput imaging, computational tools, and integrative approaches for crop improvement.Journal of experimental botany · 2026Review
- PhenoRob-P: An autonomous robotic system for high-throughput phenotyping of potted plants.Plant phenomics (Washington, D.C.) · 2026Article
- High-Throughput Phenotyping: Status and Applications in Rice Breeding.Plants (Basel, Switzerland) · 2026Review
- A conversational multi-agent AI system for automated plant phenotyping.Nature communications · 2026Article
- Microclimate-Controlled Smart Growth Cabinets for High-Throughput Plant Phenotyping.Sensors (Basel, Switzerland) · 2025Article
- AgTC and AgETL: open-source tools to enhance data collection and management for plant science research.Frontiers in plant science · 2024Article
- Review
- The benefits and struggles of FAIR data: the case of reusing plant phenotyping data.Scientific data · 2023Article
- PhytoOracle: Scalable, modular phenomics data processing pipelines.Frontiers in plant science · 2023Article
- Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits.Frontiers in plant science · 2023Article
- "Chamber #8" - a holistic approach of high-throughput non-destructive assessment of plant roots.Frontiers in plant science · 2023Article
- Proximal and remote sensing in plant phenomics: 20 years of progress, challenges, and perspectives.Plant communications · 2022Review
- Capturing crop adaptation to abiotic stress using image-based technologies.Open biology · 2022Review
- Advances in field-based high-throughput photosynthetic phenotyping.Journal of experimental botany · 2022Review
- High-throughput field crop phenotyping: current status and challenges.Breeding science · 2022Article
- Opportunities and limits of controlled-environment plant phenotyping for climate response traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Data challenges for future plant gene editing: expert opinion.Transgenic research · 2021Article
- ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture.GigaScience · 2021Article
- Integration of Gas Exchange With Metabolomics: High-Throughput Phenotyping Methods for Screening Biostimulant-Elicited Beneficial Responses to Short-Term Water Deficit.Frontiers in plant science · 2021Article
- Data management challenges for artificial intelligence in plant and agricultural research.F1000Research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant phenotyping has emerged as a comprehensive field of research as the result of significant advancements in the application of imaging sensors for high-throughput data collection. The flip side is the risk of drowning in the massive amounts of data generated by automated phenotyping systems. Currently, the major challenge lies in data management, on the level of data annotation and proper metadata collection, and in progressing towards synergism across data collection and analyses. Progress in data analyses includes efforts towards the integration of phenotypic and -omics data resources for bridging the phenotype-genotype gap and obtaining in-depth insights into fundamental plant processes.
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Identifiers
What OpenQuestion holds
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.