ArticlePlant methods2020
Non-destructive identification of single hard seed via multispectral imaging analysis in six legume species.
Article in Plant methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 43 citations in OpenAlex.
- A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass.Plant methods · 2025Article
- Early detection of verticillium wilt in eggplant leaves by fusing five image channels: a deep learning approach.Plant methods · 2024Article
- Physical Seed Dormancy in Legumes: Molecular Advances and Perspectives.Plants (Basel, Switzerland) · 2024Review
- Efficient residual network using hyperspectral images for corn variety identification.Frontiers in plant science · 2024Article
- Seed coat colour and structure are related to the seed dormancy and overwintering ability of crop-to-wild hybrid soybean.AoB PLANTS · 2023Article
- Integrating optical imaging techniques for a novel approach to evaluate Siberian wild rye seed maturity.Frontiers in plant science · 2023Article
- Cultivars identification of oat (Frontiers in plant science · 2023Article
- Fungal identification in peanuts seeds through multispectral images: Technological advances to enhance sanitary quality.Frontiers in plant science · 2023Article
- Vigour testing for the rice seed with computer vision-based techniques.Frontiers in plant science · 2023Article
- Single Seed Identification in ThreeSensors (Basel, Switzerland) · 2022Article
- Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology.Sensors (Basel, Switzerland) · 2022Article
- An Approach Using Emerging Optical Technologies and Artificial Intelligence Brings New Markers to Evaluate Peanut Seed Quality.Frontiers in plant science · 2022Article
- Non-Destructive Identification of Naturally Aged Alfalfa Seeds via Multispectral Imaging Analysis.Sensors (Basel, Switzerland) · 2021Article
- Cultivar Discrimination of Single Alfalfa (Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical dormancy (hard seed) occurs in most species of Leguminosae family and has great consequences not only for ecological adaptation but also for agricultural practice of these species. A rapid, nondestructive and on-site screening method to detect hard seed within species is fundamental important for maintaining seed vigor and germplasm storage as well as understanding seed adaptation to various environment. In this study, the potential of multispectral imaging with object-wise multivariate image analysis was evaluated as a way to identify hard and soft seeds in
resultsThe performance of discrimination model via multispectral imaging analysis was varied with species. For
conclusionsMultispectral imaging together with multivariate analysis could be a promising technique to identify single hard seed in some legume species with high efficiency. More legume species with physical dormancy need to be studied in future research to extend the use of multispectral imaging techniques.
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