Computer vision-based phenotyping for improvement of plant productivity: a machine learning perspective

Employing computer vision to extract useful information from images and videos is becoming a key technique for identifying phenotypic changes in plants. Here, we review the emerging aspects of computer vision for automated plant phenotyping. Recent advances in image analysis empowered by machine lea...

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Detalles Bibliográficos
Autores principales: Mochida, Keiichi, Koda, Satoru, Inoue, Komaki, Hirayama, Takashi, Tanaka, Shojiro, Nishii, Ryuei, Melgani, Farid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312910/
https://www.ncbi.nlm.nih.gov/pubmed/30520975
http://dx.doi.org/10.1093/gigascience/giy153

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6312910/
https://www.ncbi.nlm.nih.gov/pubmed/30520975
http://dx.doi.org/10.1093/gigascience/giy153

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