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Erratum to "Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning"
Lei Zhou1, Qinlin Xiao2, Mohamed Farag Taha2,3
1College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China.
Plant Phenomics (Washington, D.C.)
|April 3, 2023
Summary
This study corrects a previous article DOI. The corrected DOI is 10.34133/plantphenomics.0022.
Area of Science:
- Plant science
- Genomics
- Phenomics
Context:
- Correction of a previously published article DOI.
- Ensuring accurate citation and retrieval of scientific literature.
Purpose:
- To provide the correct Digital Object Identifier (DOI) for a specific plant phenomics publication.
- To facilitate correct referencing and access to the research.
Summary:
- The article DOI: 10.34133/plantphenomics.0022 has been corrected.
- This ensures proper identification and citation of the plant phenomics research.
Impact:
- Improved accuracy in scientific literature.
- Enhanced discoverability of plant phenomics research.
- Facilitates correct citation and access to scientific findings.
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