DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation

Large-scale crop yield estimation is critical for understanding the dynamics of global food security. Understanding and quantifying the temporal cumulative effect of crop growth and spatial variances across different regions remains challenging for large-scale crop yield estimation. In this study, a...

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Bibliographic Details
Main Authors: Tao Lin, Renhai Zhong, Yudi Wang, Jinfan Xu, Hao Jiang, Jialu Xu, Yibin Ying, Luis Rodriguez, K C Ting, Haifeng Li
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
yield estimation
corn
LSTM
attention mechanism
multi-task learning
deep learning
Online Access:https://doi.org/10.1088/1748-9326/ab66cb

Internet

https://doi.org/10.1088/1748-9326/ab66cb

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