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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...
Autores principales: | Yu, Qiangyi, Shi, Yun, Tang, Huajun, Yang, Peng, Xie, Ankun, Liu, Bin, Wu, Wenbin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
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 |
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