A deep learning crop model for adaptive yield estimation in large areas

Estimating crop yield in large areas is essential for ensuring food security and sustainable development. Accounting for variations in the temporal cumulative growth of crops across regions (i.e., spatial heterogeneity of crop growth) can improve the accuracy of yield estimation in large areas. Howe...

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Bibliographic Details
Main Authors: Yilin Zhu, Sensen Wu, Mengjiao Qin, Zhiyi Fu, Yi Gao, Yuanyuan Wang, Zhenhong Du
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1569843222000309

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