Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

Aerial imagery is regularly used by crop researchers, growers and farmers to monitor crops during the growing season. To extract meaningful information from large-scale aerial images collected from the field, high-throughput phenotypic analysis solutions are required, which not only produce high-qua...

Descripción completa

Detalles Bibliográficos
Autores principales: Bauer, Alan, Bostrom, Aaron George, Ball, Joshua, Applegate, Christopher, Cheng, Tao, Laycock, Stephen, Rojas, Sergio Moreno, Kirwan, Jacob, Zhou, Ji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544649/
https://www.ncbi.nlm.nih.gov/pubmed/31231528
http://dx.doi.org/10.1038/s41438-019-0151-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544649/
https://www.ncbi.nlm.nih.gov/pubmed/31231528
http://dx.doi.org/10.1038/s41438-019-0151-5

Ejemplares similares