Cargando…
A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion
Plants are often attacked by various pathogens during their growth, which may cause environmental pollution, food shortages, or economic losses in a certain area. Integration of high throughput phenomics data and computer vision (CV) provides a great opportunity to realize plant disease diagnosis in...
Autores principales: | Xia, Fei, Xie, Xiaojun, Wang, Zongqin, Jin, Shichao, Yan, Ke, Ji, Zhiwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761810/ https://www.ncbi.nlm.nih.gov/pubmed/35046977 http://dx.doi.org/10.3389/fpls.2021.789630 |
Ejemplares similares
-
scFseCluster: a feature selection-enhanced clustering for single-cell RNA-seq data
por: Wang, Zongqin, et al.
Publicado: (2023) -
A deep learning-based model for plant lesion segmentation, subtype identification, and survival probability estimation
por: Shoaib, Muhammad, et al.
Publicado: (2022) -
Harnessing Plant Biodiversity for the Discovery of Novel Anticancer Drugs Targeting Microtubules
por: Xie, Songbo, et al.
Publicado: (2017) -
Computational modeling of cambium activity provides a regulatory framework for simulating radial plant growth
por: Lebovka, Ivan, et al.
Publicado: (2023) -
In Situ Hybridization for the Precise Localization of Transcripts in Plants
por: Javelle, Marie, et al.
Publicado: (2011)