Aerial Images and Convolutional Neural Network for Cotton Bloom Detection

Monitoring flower development can provide useful information for production management, estimating yield and selecting specific genotypes of crops. The main goal of this study was to develop a methodology to detect and count cotton flowers, or blooms, using color images acquired by an unmanned aeria...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Rui, Li, Changying, Paterson, Andrew H., Jiang, Yu, Sun, Shangpeng, Robertson, Jon S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820543/
https://www.ncbi.nlm.nih.gov/pubmed/29503653
http://dx.doi.org/10.3389/fpls.2017.02235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5820543/
https://www.ncbi.nlm.nih.gov/pubmed/29503653
http://dx.doi.org/10.3389/fpls.2017.02235

Ejemplares similares