Cargando…
Machine learning provides specific detection of salt and drought stresses in cucumber based on miRNA characteristics
BACKGROUND: Specific detection of the type and severity of plant abiotic stresses helps prevent yield loss by considering timely actions. This study introduces a novel method to detect the type and severity of stress in cucumber plants under salinity and drought conditions. Various features, i.e., m...
Autores principales: | Mohammadi, Parvin, Asefpour Vakilian, Keyvan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10631058/ https://www.ncbi.nlm.nih.gov/pubmed/37940966 http://dx.doi.org/10.1186/s13007-023-01095-x |
Ejemplares similares
-
Machine learning improves our knowledge about miRNA functions towards plant abiotic stresses
por: Asefpour Vakilian, Keyvan
Publicado: (2020) -
Effects of power ultrasound treatment on the shelf life of button mushrooms: Digital image processing and microbial counting can reveal the effects
por: Ganjdoost, Maryam, et al.
Publicado: (2021) -
An object-based sparse representation model for spatiotemporal image fusion
por: Asefpour Vakilian, Afshin, et al.
Publicado: (2022) -
Transcriptome and miRNA analyses of the response to Corynespora cassiicola in cucumber
por: Wang, Xiangyu, et al.
Publicado: (2018) -
Transcriptome Analyses in Different Cucumber Cultivars Provide Novel Insights into Drought Stress Responses
por: Wang, Min, et al.
Publicado: (2018)