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...

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Detalles Bibliográficos
Autores principales: Tan, Zhihao, Yang, Jing, Li, Qingyuan, Su, Fengxiang, Yang, Tianxu, Wang, Weiran, Aierxi, Alifu, Zhang, Xianlong, Yang, Wanneng, Kong, Jie, Min, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653958/
https://www.ncbi.nlm.nih.gov/pubmed/36362251
http://dx.doi.org/10.3390/ijms232113469

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