http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34476246

Outgoing Links

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contentType Journal Article
issn 2643-6515
pageRange 0011-
publicationName Plant phenomics (Washington, D.C.)
startingPage 0011
bibliographicCitation Li K, Zhu X, Qiao C, Zhang L, Gao W, Wang Y. The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning. Plant Phenomics. 2023;5():0011. PMID: 36930758; PMCID: PMC10013786.
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date 202301
identifier https://pubmed.ncbi.nlm.nih.gov/36930758
https://pubmed.ncbi.nlm.nih.gov/PMC10013786
https://doi.org/10.34133/plantphenomics.0011
isPartOf http://rdf.ncbi.nlm.nih.gov/pubchem/journal/49995
https://portal.issn.org/resource/ISSN/2643-6515
language English
source https://pubmed.ncbi.nlm.nih.gov/
https://www.crossref.org/
title The Gray Mold Spore Detection of Cucumber Based on Microscopic Image and Deep Learning

Total number of triples: 22.