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Detection and characterization of spike architecture based on deep learning and X-ray computed tomography in barley.
Ling, Yimin; Zhao, Qinlong; Liu, Wenxin; Wei, Kexu; Bao, Runfei; Song, Weining; Nie, Xiaojun.
Affiliation
  • Ling Y; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Zhao Q; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Liu W; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Wei K; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Bao R; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Song W; State Key Laboratory of Crop Stress Biology in Arid Areas and College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
  • Nie X; ICARDA-NWSUAF Joint Research Centre, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Plant Methods ; 19(1): 115, 2023 Oct 27.
Article in En | MEDLINE | ID: mdl-37891590
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Methods Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Plant Methods Year: 2023 Document type: Article Affiliation country: China Country of publication: United kingdom