Crop Agnostic Monitoring Driven by Deep Learning

Farmers require diverse and complex information to make agronomical decisions about crop management including intervention tasks. Generally, this information is gathered by farmers traversing their fields or glasshouses which is often a time consuming and potentially expensive process. In recent yea...

Descripción completa

Detalles Bibliográficos
Autores principales: Halstead, Michael, Ahmadi, Alireza, Smitt, Claus, Schmittmann, Oliver, McCool, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722344/
https://www.ncbi.nlm.nih.gov/pubmed/34987534
http://dx.doi.org/10.3389/fpls.2021.786702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722344/
https://www.ncbi.nlm.nih.gov/pubmed/34987534
http://dx.doi.org/10.3389/fpls.2021.786702

Ejemplares similares