Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis.
about
An integrated RNAseq-1H NMR metabolomics approach to understand soybean primary metabolism regulation in response to Rhizoctonia foliar blight disease.Biochar Amendment Modifies Expression of Soybean and Rhizoctonia solani Genes Leading to Increased Severity of Rhizoctonia Foliar Blight.Quantitative, Image-Based Phenotyping Methods Provide Insight into Spatial and Temporal Dimensions of Plant Disease.Characterization of the pathogenicity of strains of Pseudomonas syringae towards cherry and plum.Digital Imaging Combined with Genome-Wide Association Mapping Links Loci to Plant-Pathogen Interaction Traits
P2860
Rapid, automated detection of stem canker symptoms in woody perennials using artificial neural network analysis.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Rapid, automated detection of ...... icial neural network analysis.
@en
type
label
Rapid, automated detection of ...... icial neural network analysis.
@en
prefLabel
Rapid, automated detection of ...... icial neural network analysis.
@en
P2093
P2860
P1433
P1476
Rapid, automated detection of ...... ficial neural network analysis
@en
P2093
John W Mansfield
Michelle T Hulin
Philip Brain
Robert W Jackson
P2860
P2888
P356
10.1186/S13007-015-0100-8
P577
2015-12-24T00:00:00Z
P5875
P6179
1024270676