ArticlePlant physiology2019
A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping.
Article in Plant physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Transgenic phytochrome D cooperates with phytochrome B to promote photomorphogenesis at low temperatures.Plant cell reports · 2026Article
- A Stage-Aware Cascaded Detection-Segmentation Framework for Leaf Phenotyping and Leaf Dry Biomass Estimation of Pepper Seedlings.Plants (Basel, Switzerland) · 2026Article
- FiloAnalyzer: a deep learning approach for cell filopodia segmentation.BMC bioinformatics · 2026Article
- Early Plant Development as a Systems-Level Trait: Integrating Omics, Artificial Intelligence, and Emerging Biotechnologies.Plants (Basel, Switzerland) · 2026Review
- Estimating Radicle Length of Germinating Elm Seeds via Deep Learning.Sensors (Basel, Switzerland) · 2025Article
- Phytochrome C and Low Temperature Promote the Protein Accumulation and Red-Light Signaling of Phytochrome D.Plant & cell physiology · 2024Article
- DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings.Frontiers in plant science · 2024Article
- Explainable deep learning in plant phenotyping.Frontiers in artificial intelligence · 2023Review
- Advanced high-throughput plant phenotyping techniques for genome-wide association studies: A review.Journal of advanced research · 2022Review
- Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning.Plant methods · 2021Article
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Plant physiology · 2021Article
- DeepLearnMOR: a deep-learning framework for fluorescence image-based classification of organelle morphology.Plant physiology · 2021Article
- High-throughput phenotyping analysis of maize at the seedling stage using end-to-end segmentation network.PloS one · 2021Article
- Test-time augmentation for deep learning-based cell segmentation on microscopy images.Scientific reports · 2020Article
- The evolution of metabolism: How to test evolutionary hypotheses at the genomic level.Computational and structural biotechnology journal · 2020Review
- Noninvasive Phenotyping of Plant-Pathogen Interaction: ConsecutiveFrontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypocotyl length determination is a widely used method to phenotype young seedlings. The measurement itself has advanced from using rulers and millimeter papers to assessing digitized images but remains a labor-intensive, monotonous, and time-consuming procedure. To make high-throughput plant phenotyping possible, we developed a deep-learning-based approach to simplify and accelerate this method. Our pipeline does not require a specialized imaging system but works well with low-quality images produced with a simple flatbed scanner or a smartphone camera. Moreover, it is easily adaptable for a diverse range of datasets not restricted to Arabidopsis (
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Registered trials
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