ArticleFrontiers in plant science2016
Phenotyping: Using Machine Learning for Improved Pairwise Genotype Classification Based on Root Traits.
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Machine Learning-Driven Construction of High-Yielding Cucumber Plant Architectures in Greenhouse Environments.Plant biotechnology journal · 2026Article
- Early Plant Development as a Systems-Level Trait: Integrating Omics, Artificial Intelligence, and Emerging Biotechnologies.Plants (Basel, Switzerland) · 2026Review
- Root system architecture and drought adaptation: emerging tools and genetic insights.Frontiers in plant science · 2026Review
- High-Accuracy Chicken Breed Identification Using Microsatellite Genotype Data and AutoGluon Framework.Biology · 2025Article
- A Portable High-Resolution Snapshot Multispectral Imaging Device Leveraging Spatial and Spectral Features for Non-Invasive Corn Nitrogen Treatment Classification.Sensors (Basel, Switzerland) · 2025Article
- Identification of angiogenesis-related genes and molecular subtypes for psoriasis based on random forest algorithm.Clinical and experimental immunology · 2024Article
- The State of the Art in Root System Architecture Image Analysis Using Artificial Intelligence: A Review.Plant phenomics (Washington, D.C.) · 2024Review
- Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding.International journal of molecular sciences · 2022Review
- Objective Phenotyping of Root System Architecture Using Image Augmentation and Machine Learning in Alfalfa (Medicago sativa L.).Plant phenomics (Washington, D.C.) · 2022Article
- Advances in Cereal Crop Genomics for Resilience under Climate Change.Life (Basel, Switzerland) · 2021Review
- Selection of nitrogen responsive root architectural traits in spinach using machine learning and genetic correlations.Scientific reports · 2021Article
- Machine learning, transcriptome, and genotyping chip analyses provide insights into SNP markers identifying flower color in Platycodon grandiflorus.Scientific reports · 2021Article
- Next-Generation Breeding Strategies for Climate-Ready Crops.Frontiers in plant science · 2021Review
- The Use of High-Throughput Phenotyping for Assessment of Heat Stress-Induced Changes in Arabidopsis.Plant phenomics (Washington, D.C.) · 2020Article
- Data-mining Techniques for Image-based Plant Phenotypic Traits Identification and Classification.Scientific reports · 2019Article
- Identification of transcriptome-wide, nut weight-associated SNPs in Castanea crenata.Scientific reports · 2019Article
- Hyperspectral imaging: a novel approach for plant root phenotyping.Plant methods · 2018Article
- Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques.Scientific reports · 2017Article
- Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.Journal of medical Internet research · 2017Article
- A machine learning algorithm for the automatic classification ofApplications in plant sciencesArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotyping local crop cultivars is becoming more and more important, as they are an important genetic source for breeding - especially in regard to inherent root system architectures. Machine learning algorithms are promising tools to assist in the analysis of complex data sets; novel approaches are need to apply them on root phenotyping data of mature plants. A greenhouse experiment was conducted in large, sand-filled columns to differentiate 16 European
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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.