Cargando…
Deep Learning Based Automatic Grape Downy Mildew Detection
Grape downy mildew (GDM) disease is a common plant leaf disease, and it causes serious damage to grape production, reducing yield and fruit quality. Traditional manual disease detection relies on farm experts and is often time-consuming. Computer vision technologies and artificial intelligence could...
Autores principales: | Zhang, Zhao, Qiao, Yongliang, Guo, Yangyang, He, Dongjian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227981/ https://www.ncbi.nlm.nih.gov/pubmed/35755646 http://dx.doi.org/10.3389/fpls.2022.872107 |
Ejemplares similares
-
Forecasting severe grape downy mildew attacks using machine learning
por: Chen, Mathilde, et al.
Publicado: (2020) -
Ten Broad Spectrum Resistances to Downy Mildew Physically Mapped on the Sunflower Genome
por: Pecrix, Yann, et al.
Publicado: (2018) -
Assessment of Resistance Components for Improved Phenotyping of Grapevine Varieties Resistant to Downy Mildew
por: Bove, Federica, et al.
Publicado: (2019) -
Biostimulation can prime elicitor induced resistance of grapevine leaves to downy mildew
por: Jacquens, Lucile, et al.
Publicado: (2022) -
Identification and Classification of Downy Mildew Severity Stages in Watermelon Utilizing Aerial and Ground Remote Sensing and Machine Learning
por: Abdulridha, Jaafar, et al.
Publicado: (2022)