Maize yield estimation in Northeast China’s black soil region using a deep learning model with attention mechanism and remote sensing

Abstract Accurate prediction of maize yields is crucial for effective crop management. In this paper, we propose a novel deep learning framework (CNNAtBiGRU) for estimating maize yield, which is applied to typical black soil areas in Northeast China. This framework integrates a one-dimensional convo...

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Bibliographic Details
Main Authors: Xingke Li, Yunfeng Lyu, Bingxue Zhu, Lushi Liu, Kaishan Song
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97563-6
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