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PollenDetect: An Open-Source Pollen Viability Status Recognition System Based on Deep Learning Neural Networks
Pollen grains, the male gametophytes for reproduction in higher plants, are vulnerable to various stresses that lead to loss of viability and eventually crop yield. A conventional method for assessing pollen viability is manual counting after staining, which is laborious and hinders high-throughput...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653958/ https://www.ncbi.nlm.nih.gov/pubmed/36362251 http://dx.doi.org/10.3390/ijms232113469 |