Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

Machine learning (ML) and deep neural network (DNN) techniques are promising tools. These can advance mathematical crop modelling methodologies that can integrate these schemes into a process-based crop model capable of reproducing or simulating crop growth. In this study, an innovative hybrid appro...

Descripción completa

Detalles Bibliográficos
Autores principales: Jeong, Seungtaek, Ko, Jonghan, Shin, Taehwan, Yeom, Jong-min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151665/
https://www.ncbi.nlm.nih.gov/pubmed/35637314
http://dx.doi.org/10.1038/s41598-022-13232-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151665/
https://www.ncbi.nlm.nih.gov/pubmed/35637314
http://dx.doi.org/10.1038/s41598-022-13232-y

Ejemplares similares