ArticlePlant physiology2016
phenoSeeder - A Robot System for Automated Handling and Phenotyping of Individual Seeds.
Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Highly Polygenic Control of Photosynthetic Responses to Nighttime Temperature Studied by Genomic Prediction.Plant, cell & environment · 2026Article
- Samplify: a versatile tool for image-based segmentation and annotation of seed abortion phenotypes.The New phytologist · 2026Article
- Evaluation of soybean sprouting growth vigor based on ZnONPs.Frontiers in plant science · 2026Article
- Automatic root measurement: a lightweight method for measuring pea root length.Plant methods · 2025Article
- Assessing and mining grain amaranth diversity for sustainable cropping systems.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- SeedGerm-VIG: an open and comprehensive pipeline to quantify seed vigor in wheat and other cereal crops using deep learning-powered dynamic phenotypic analysis.GigaScience · 2025Article
- Leveraging sensor technologies for seed phenotyping by genebanks.Frontiers in plant science · 2025Article
- Multispectral imaging and automated analysis for quantifying grain quality to reveal known and potential novel alleles affecting grain traits in wheat.Frontiers in plant science · 2025Article
- Seed-to-plant-tracking: automated phenotyping of seeds and corresponding plants of Arabidopsis.Frontiers in plant science · 2025Article
- Digital techniques and trends for seed phenotyping using optical sensors.Journal of advanced research · 2024Review
- Ectopic Expression of Distinct PLC Genes Identifies 'Compactness' as a Possible Architectural Shoot Strategy to Cope with Drought Stress.Plant & cell physiology · 2024Article
- RT-DETR-SoilCuc: detection method for cucumber germinationinsoil based environment.Frontiers in plant science · 2024Article
- Regulation of root growth and elongation in wheat.Frontiers in plant science · 2024Review
- Molecular dynamics of seed priming at the crossroads between basic and applied research.Plant cell reports · 2023Review
- Arabidopsis histone deacetylase HD2A and HD2B regulate seed dormancy by repressing DELAY OF GERMINATION 1.Frontiers in plant science · 2023Article
- Pitfalls and potential of high-throughput plant phenotyping platforms.Frontiers in plant science · 2023Article
- YOLOv8-Peas: a lightweight drought tolerance method for peas based on seed germination vigor.Frontiers in plant science · 2023Article
- Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals.Frontiers in plant science · 2023Review
- High-throughput measurement of plant fitness traits with an object detection method using Faster R-CNN.The New phytologist · 2022Article
- Empirical Evaluation of Inflorescences' Morphological Attributes for Yield Optimization of Medicinal Cannabis Cultivars.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The enormous diversity of seed traits is an intriguing feature and critical for the overwhelming success of higher plants. In particular, seed mass is generally regarded to be key for seedling development but is mostly approximated by using scanning methods delivering only two-dimensional data, often termed seed size. However, three-dimensional traits, such as the volume or mass of single seeds, are very rarely determined in routine measurements. Here, we introduce a device named phenoSeeder, which enables the handling and phenotyping of individual seeds of very different sizes. The system consists of a pick-and-place robot and a modular setup of sensors that can be versatilely extended. Basic biometric traits detected for individual seeds are two-dimensional data from projections, three-dimensional data from volumetric measures, and mass, from which seed density is also calculated. Each seed is tracked by an identifier and, after phenotyping, can be planted, sorted, or individually stored for further evaluation or processing (e.g. in routine seed-to-plant tracking pipelines). By investigating seeds of Arabidopsis (Arabidopsis thaliana), rapeseed (Brassica napus), and barley (Hordeum vulgare), we observed that, even for apparently round-shaped seeds of rapeseed, correlations between the projected area and the mass of seeds were much weaker than between volume and mass. This indicates that simple projections may not deliver good proxies for seed mass. Although throughput is limited, we expect that automated seed phenotyping on a single-seed basis can contribute valuable information for applications in a wide range of wild or crop species, including seed classification, seed sorting, and assessment of seed quality.
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