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Accurate machine learning-based germination detection, prediction and quality assessment of three grain crops
BACKGROUND: Assessment of seed germination is an essential task for seed researchers to measure the quality and performance of seeds. Usually, seed assessments are done manually, which is a cumbersome, time consuming and error-prone process. Classical image analyses methods are not well suited for l...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754596/ https://www.ncbi.nlm.nih.gov/pubmed/33353559 http://dx.doi.org/10.1186/s13007-020-00699-x |