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Stomata Detector: High-throughput automation of stomata counting in a population of African rice (Oryza glaberrima) using transfer learning
Sophie B. Cowling, Hamidreza Soltani, View ORCID ProfileSean Mayes, View ORCID ProfileErik H. Murchie
doi: https://doi.org/10.1101/2021.12.01.469618
Sophie B. Cowling
1Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Sutton Bonington Campus, LE12 5RD
Hamidreza Soltani
2Advanced Data Analysis Centre, University of Nottingham, Sutton Bonington Campus, LE12 5RD
Sean Mayes
1Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Sutton Bonington Campus, LE12 5RD
Erik H. Murchie
1Division of Plant and Crop Science, School of Biosciences, University of Nottingham, Sutton Bonington Campus, LE12 5RD
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Posted December 03, 2021.
Stomata Detector: High-throughput automation of stomata counting in a population of African rice (Oryza glaberrima) using transfer learning
Sophie B. Cowling, Hamidreza Soltani, Sean Mayes, Erik H. Murchie
bioRxiv 2021.12.01.469618; doi: https://doi.org/10.1101/2021.12.01.469618
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