Your browser doesn't support javascript.
loading
From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection.
James, Chrisbin; Gu, Yanyang; Potgieter, Andries; David, Etienne; Madec, Simon; Guo, Wei; Baret, Frédéric; Eriksson, Anders; Chapman, Scott.
Affiliation
  • James C; School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Australia.
  • Gu Y; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
  • Potgieter A; Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, Australia.
  • David E; Arvalis, Institut du Végétal, Paris, France.
  • Madec S; Arvalis, Institut du Végétal, Paris, France.
  • Guo W; Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
  • Baret F; Institut National de la Recherche Agronomique, Paris, France.
  • Eriksson A; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia.
  • Chapman S; School of Agriculture and Food Sciences, The University of Queensland, Brisbane, Australia.
Plant Phenomics ; 5: 0017, 2023.
Article in En | MEDLINE | ID: mdl-37040294
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Guideline / Prognostic_studies Language: En Year: 2023 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Guideline / Prognostic_studies Language: En Year: 2023 Type: Article