eFarm: A Tool for Better Observing Agricultural Land Systems

Currently, observations of an agricultural land system (ALS) largely depend on remotely-sensed images, focusing on its biophysical features. While social surveys capture the socioeconomic features, the information was inadequately integrated with the biophysical features of an ALS and the applicatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Qiangyi, Shi, Yun, Tang, Huajun, Yang, Peng, Xie, Ankun, Liu, Bin, Wu, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375739/
https://www.ncbi.nlm.nih.gov/pubmed/28245554
http://dx.doi.org/10.3390/s17030453

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375739/
https://www.ncbi.nlm.nih.gov/pubmed/28245554
http://dx.doi.org/10.3390/s17030453

Ejemplares similares