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Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network.
Fan, Yaoyao; An, Ting; Wang, Qingyan; Yang, Guang; Huang, Wenqian; Wang, Zheli; Zhao, Chunjiang; Tian, Xi.
Affiliation
  • Fan Y; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
  • An T; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Wang Q; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Yang G; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Huang W; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Wang Z; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Zhao C; Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China.
  • Tian X; College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang, China.
Front Plant Sci ; 14: 1248598, 2023.
Article in En | MEDLINE | ID: mdl-37711294
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies Language: En Journal: Front Plant Sci Year: 2023 Document type: Article Affiliation country: Country of publication: